Data Migration Vs Database Migration Jobs in Usa

Job Description

The Data Quality Analyst / Databricks Implementation Specialist plays a key role in advancing the company’s enterprise data governance and Databricks Lakehouse strategy. This role partners closely with business data stewards, data owners, and technical teams to translate business data requirements into governed, high-quality datasets within Databricks Unity Catalog. The analyst will support domain onboarding, develop and operationalize data quality rules, perform profiling and analysis, and help implement enterprise standards for metadata, lineage, and semantic consistency.

Key Responsibilities

• Data Quality & Profiling
• Develop, document, and maintain data quality rules for critical data elements (CDEs).
• Perform data profiling, anomaly detection, and root-cause analysis.
• Partner with data stewards to validate definitions, thresholds, and business rules.
• Monitor and report on data quality metrics and remediation progress.
• Databricks Unity Catalog Implementation
• Support Unity Catalog rollout across domains, including catalog structure, tagging, and metadata standards.
• Assist with onboarding domains into the Bronze → Silver → Gold architecture.
• Ensure lineage, ownership, and quality rules are embedded into Databricks pipelines.
• Help implement domain-aligned access controls and sensitivity tagging.
• Collaboration with Data Stewards & Business Partners
• Work directly with business data stewards to understand data requirements and quality expectations.
• Translate business meaning into standardized CDEs and steward-approved metadata.
• Facilitate working sessions to align on semantics, domain boundaries, and data product requirements.
• Support consistent governance practices across domains.
• Metadata, Lineage, and Catalog Management
• Maintain high-quality metadata in the enterprise data catalog.
• Ensure CDEs, KPIs, and domain terms are accurately documented.
• Validate lineage from raw sources through refined layers.
• Data Analysis & Issue Resolution
• Investigate data issues raised by business users or downstream consumers.
• Perform impact analysis for schema changes or quality rule updates.
• Support remediation efforts with engineering and business teams.

Required Skills & Experience

3–5 years of experience in data quality, data governance, or data analysis.

Hands-on experience with Databricks, Delta Lake, or similar cloud platforms.

Strong understanding of data quality concepts.

Experience with metadata catalogs or governance tools.

Proficiency with SQL and data analysis.

Strong communication skills.

Nice to Have Skills & Experience

Experience with Databricks Unity Catalog.

Familiarity with Medallion Architecture.

Exposure to governance frameworks (DAMA, DCAM).

Experience collaborating with data stewards or data owners.

Knowledge of data modeling or semantic layers.

Pay Rate depending on background and experience ranging from $35-43/hr

Job Name: MDM Data Quality & Cleansing Specialist

Job Location: Wayne, PA, 19087 (2 days/week onsite is required - Team onsite day is Thursdays)

Duration: 6 Months with potential to extend

Working Hours: 8:30 am - 5:30 pm (some flexibility)

Interview Process: 1 45-minute virtual interview

Position Summary

The MDM Data Quality & Cleansing Specialist is responsible for supporting enterprise Master Data Management (MDM) initiatives by performing remediation of post–match merge fallout records and executing data cleansing activities across designated data domains. This position plays a critical role in ensuring the accuracy, consistency, and completeness of master data in accordance with established data governance policies, data quality standards, and operational procedures.

Responsibilities

• MDM Fallout Management
• Review and research fallout records generated from MDM match merge processes.
• Perform timely and accurate remediation of data exceptions in accordance with predefined business rules and governance standards.
• Validate survivorship outcomes and ensure that entity resolution results align with data stewardship expectations.
• Conduct root cause analysis to determine factors contributing to recurring data exceptions.
• Data Cleansing and Data Quality Support
• Execute data cleansing tasks including standardization, deduplication, formatting corrections, and attribute validation.
• Verify data completeness and accuracy using approved tools, templates, and quality checks.
• Perform bulk updates or corrections as authorized, following established protocols and change control requirements.
• Assist in monitoring data quality dashboards, reports, and exception queues.
• Data Stewardship Collaboration
• Collaborate with Data Governance, Data Stewards, business partners, and MDM Operations teams to resolve data issues requiring business input.
• Document remediation decisions and maintain required audit trails in accordance with compliance and governance standards.
• Support stewardship processes by escalating complex or policy related issues as appropriate.

Qualifications

Required

• Minimum of 2 years of experience in Master Data Management, Data Governance, Data Quality, or a related data operations role.
• Proficiency with Microsoft Excel (e.g., lookup functions, pivot tables, filtering, data cleaning techniques).
• Experience working with one or more MDM applications (e.g., Informatica or similar).

Preferred

• Experience with match merge or entity resolution workflows.
• Basic proficiency in SQL or other data manipulation/query tools.
• Familiarity with data governance frameworks, data quality rules, and metadata management principles.
• Prior experience working with party (customer, partner) master data.

• 
  
• Facilitate workshops, demos, onboarding sessions, and cross?domain engagements to drive Marketplace adoption.
  
• Serve as the primary technical presenter of the Marketplace for domain teams and stakeholders.
  
• Engage with domain owners to understand their data products, help refine their articulation, and showcase how they integrate into the Marketplace ecosystem.
  
• Configure and maintain demo environments for Marketplace capabilities, data products, and new features.
  
• Support light development, proof?of?concept configurations, and sample integrations to demonstrate platform capabilities.
  
• Translate technical Marketplace concepts into clear, business?friendly language for non?technical audiences.
  
• Collect structured feedback from domain teams, synthesize insights, and partner with product and engineering to influence the roadmap.
  
• Develop and refine training materials, demos, playbooks, and onboarding assets to support continuous adoption.
  
• Act as an advocate for domains, ensuring their data product needs and challenges are well represented in Marketplace planning.
  
• Support ongoing adoption initiatives, including community sessions, office hours, and cross?domain knowledge sharing.
  

• 
  
• 4-7+ years of experience in data engineering, platform engineering, solution engineering, technical consulting, or similar roles.
  
• Strong understanding of data products, data modeling concepts, data APIs, enterprise integrations and metadata?driven architectures.
  
• Ability to configure and demonstrate platform features, build light proofs?of?concept, and support technical onboarding.
  
• Excellent communication and presentation skills, with experience translating technical concepts for business partners.
  
• Experience facilitating workshops, leading demos, or driving customer/product adoption initiatives.
  
• Ability to engage domain teams, understand their data product needs, and help articulate value within a larger ecosystem.
  
• Strong collaboration and stakeholder management skills across engineering, product, and business teams.
  
• Comfortable working in fast?moving environments and driving clarity through ambiguity.
  

• 
  
• Experience with data product and governance frameworks, data marketplaces, data mesh concepts, or platform adoption roles.
  
• Hands?on experience with cloud data platforms (Azure, AWS, or GCP), data pipelines, or integration tooling.
  
• Familiarity with REST/GraphQL APIs, event-driven patterns, and data ingestion workflows.
  
• Background in solution architecture, customer engineering, or sales engineering.
  
• Experience developing demo environments, sample apps, or repeatable platform enablement assets.
  
• Strong storytelling ability when explaining data product value, domain capabilities, and Marketplace patterns.
  

Open date: June 9, 2025

Most recent review date: Tuesday, Jun 24, 2025 at 11:59pm (Pacific Time)

Applications received after this date will be reviewed by the search committee if the position has not yet been filled.

Final date: Tuesday, Jan 12, 2027 at 11:59pm (Pacific Time)

Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.

Data Science Undergraduate Studies (DSUS) at the University of California, Berkeley invites applications for a pool of qualified temporary lecturers to teach DSUS courses should an opening arise. Screening of applicants is ongoing and will continue as needed. The number of positions varies from semester to semester (fall, spring and summer sessions), depending on the needs of the unit.

About DSUS

Data Science Undergraduate Studies (DSUS) offers a range of academic, co-curricular, and enrichment programs-including the Data Science major and minor-with a wide-reaching impact both across UC Berkeley and beyond.

Designed in collaboration with faculty from across Berkeley, Data Science invests students with deep technical knowledge, expertise in how to apply that knowledge in a field of their choosing, and an understanding of the social and human contexts and ethical implications of how data are collected, analyzed, and used. This combination positions graduates to help inform and develop solutions to a range of pressing challenges, from adapting industry to a new world of data to amplifying learning in education to helping communities recover from disaster.

DSUS is part of the College of Computing, Data Science, and Society (CDSS), which strives to develop, implement, and share high-quality, ethics-oriented, and accessible curricula, educating a diverse student body in data science, computing, and statistics. Core to the college is an understanding of how computing and data science affect equality, equity, and opportunity-and the capacity to respond to social challenges.

DSUS is committed to hiring and developing staff who want to work in a high performing culture that reflects the outstanding work of our faculty and students. DSUS seeks candidates who can support the success of all students through inclusive curriculum, classroom environment, and pedagogy.

Responsibilities

DSUS is seeking outstanding instructors to be appointed in the non-Senate Lecturer title series who can teach small and large courses in several areas. We are particularly interested in instructors who can combine computational and inferential thinking in a way that reflects the new field of Data Science Education.

Core courses include:

Fundamentals of Data Science

Principle and Techniques of Data Science

Human Contexts and Ethics of Data

Data and Justice

Data, Inference, and Decisions

Honors Thesis Seminar

Connector Courses: Instructors may be hired to teach Connector Courses that connect Foundations of Data Science with other disciplines, such as neuroscience, legal studies, public health, demography, English or others. Connector courses allow students to apply theoretical concepts from data science to a particular area of interest. Course design and syllabus will leverage the sequence of computational and statistical techniques that students learn in the Foundations course.

Teaching a Data Science course may include holding office hours, assign grades, advise students, prepare course materials (e.g., syllabus), provide clear and prompt feedback on student work, and maintain the course website.

Please note: The use of a lecturer pool does not guarantee that an open position exists. See the review date specified in AP Recruit to learn whether the unit is currently reviewing applications for a specific position. If there is no future review date specified, your application may not be considered at this time.

Department: dsus

Division:

Must have an advanced degree or be enrolled in an advanced degree program at the time of application.

Advanced degree. Candidates must already be authorized to work in the United States.

A Ph.D. or equivalent international degree in computer science, statistics, information, applied mathematics, engineering, or the social sciences is preferred.

Ability to support the success of all students through inclusive curriculum, classroom environment, and pedagogy.

• Curriculum Vitae - Your most recently updated C.V.

  
  

• Cover Letter

  
  

• Statement of Teaching - Please discuss prior teaching experience, teaching approach, and future teaching interests. This can include, for example, specific efforts, accomplishments, and future plans to support the success of all students through inclusive curriculum, classroom environment, and pedagogy.

  
  

• 3-4 required (contact information only)

Help contact:

UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy (APM 210 1-d). These values are embedded in our Principles of Community, which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive.

The University of California, Berkeley is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.

For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy.

In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.

As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.

Unless stated otherwise, unambiguously, in the position description, this position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee.

As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.

• 
  
• "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer.
  
• UC Sexual Violence and Sexual Harassment Policy
  
• UC Anti-Discrimination Policy
  
• APM - 035: Affirmative Action and Nondiscrimination in Employment
  

Open date: February 24, 2026

Next review date: Wednesday, Mar 11, 2026 at 11:59pm (Pacific Time)

Apply by this date to ensure full consideration by the committee.

Final date: Friday, Mar 27, 2026 at 11:59pm (Pacific Time)

Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.

This postdoctoral opportunity brings together faculty from UC Berkeley's School of Education (BSE); the College of Computing, Data Science, and Society (CDSS); and the Social Science D-Lab to support one (1) postdoctoral scholar as they study the teaching and learning of Data Science. Scholars will apprentice with multiple projects to develop and contribute expertise and scholarship in ethical data science teaching and learning across precollege, 2-year college, and 4-year university contexts. A major goal is to prepare scholars who are conversant across sectors, in order to help create coherent and supportive data science learning trajectories for all students.

We seek applicants with complementary relevant skill-sets and training in data science and education. This includes applicants with different educational backgrounds (e.g. research, regional, or liberal arts colleges; technical and community colleges), methodologies (e.g. qualitative and quantitative approaches to social sciences research), and experiences related to teaching or educational research (e.g. tutoring, teaching, curriculum development). We hope scholars will all share commitments to contributing high-quality, ethical Data Science Education teaching, curriculum, and scholarship. Applicants must be authorized to work in the United States at the time of hire. Visa sponsorship is not available for this positon.

The program will prepare postdoctoral scholars for a variety of careers such as entering Discipline-Based Education Research or the Scholarship of Teaching and Learning of Data Science as research or teaching faculty at a range of colleges and universities; working for non-academic organizations that design, develop, and study curricula, resources, and teacher learning for Data Science Education; or working with school districts or university systems to support student readiness, success, interest/confidence and career awareness in data science.

Duties of Position:

Year 1: Researchers will work with specialists among the faculty in Computer Science, Data-Intensive Social Science, Education, and Statistics in research rotations across departments; attend monthly workshops designed to develop the knowledge base required to conduct consequential research in this field; and become integral members of a growing community of practice at UC Berkeley and across the SF Bay Area.

Year 2: Researchers will engage with a year-long apprenticeship with a faculty mentor and will develop an independent project within the context of one of the many educational initiatives led by project personnel. Fellows will have the opportunity to teach workshops in Python/Jupyter, social science methodology, data literacy pedagogies, or data science curriculum development, and they may also teach undergraduate courses in Data Science/Statistics or STEM teacher preparation, no more than one course per year in the lecturer title. They will present their independent work at campus colloquia and will engage the broader Data Science Education field through scholarly conferences, technical workshops, and UC Berkeley's annual Data Science Education convening.

Department:

Doctoral degree (or equivalent international degree), or enrolled in a Doctoral or equivalent international degree program at the time of application.

Doctoral degree (or equivalent international degree). No more than three years of post-degree research experience by start date.

*Knowledge of Python, Jupyter, R/RStudio, and/or other common statistical computing tools and languages.

*Teaching or tutoring experience at K-12, community college, and/or university levels.

*Experience with a variety of educational institutions (e.g. regional, or liberal arts colleges; 2-year colleges; high schools; informal learning environments).

• Curriculum Vitae - Your most recently updated C.V.

  
  

• Letter of interest - One page long, detailing professional goals and aspirations for research given what they know of the opportunity

  
  

• 2 required (contact information only)

References will only be contacted for those candidates under serious consideration. Letters of support should speak to the candidate's strengths with respect to both disciplinary experience (e.g. in Data Science, Computer Science, Statistics, and/or related fields) and experience in educational research and/or practice (e.g., as a tutor, curriculum developer, or related to academic studies in Education, Learning Sciences, Cognitive Science, Educational Psychology, or related fields).

Help contact:

UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy (APM 210 1-d). These values are embedded in our Principles of Community, which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive.

The University of California, Berkeley is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.

For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy.

In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.

As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.

Unless stated otherwise, unambiguously, in the position description, this position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee.

As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.

• 
  
• "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer.
  
• UC Sexual Violence and Sexual Harassment Policy
  
• UC Anti-Discrimination Policy
  
• APM - 035: Affirmative Action and Nondiscrimination in Employment
  

• Growth opportunities to uplevel your career
• A people-centric culture embracing and celebrating diverse perspectives, backgrounds, and experiences within our team
• Competitive compensation and comprehensive benefits focused on well-being
• An opportunity to shape the future of health care by joining a team recognized as a Best Place to Work For in the NY Capital District, one of the Best Companies to Work For in New York, and an Inclusive Workplace.

• Lead and oversee the successful execution of operational workflows and health care quality data deliverables.
• Have experience working with HEDIS, Medicare Stars, and NYSDOH QARR measures data and a good understanding of health care quality measurement.
• Conduct analysis of large data sets to support health care quality improvement initiatives, including gap analysis, process optimization, and patient engagement.
• Collaborate with cross-functional teams to design, implement, and maintain data solutions that meet the needs of stakeholders and business partners.
• Ensure the accuracy and integrity of data through the development and implementation of data quality control processes and procedures.
• Provide training and mentorship to team members to promote growth and development.
• Participate in the development of data governance policies, standards, and procedures, and ensure compliance with regulatory requirements and industry best practices.
• Present data insights and recommendations to leadership, effectively communicating complex technical information to non-technical stakeholders.
• Continuously monitor and evaluate the effectiveness of operational workflows, making recommendations for improvements and leading implementation efforts as necessary.

• Strong analytical skills, with the ability to turn data into actionable insights.
• Proficiency in SQL, Azure Databricks, data visualization tools (e.g. Tableau, PowerBI), and data manipulation tools (e.g. Alteryx, R, Python).
• Excellent verbal and written communication skills, with the ability to effectively communicate technical information to both technical and non-technical stakeholders.
• Ability to work independently and as part of a team, with strong project management skills and the ability to prioritize tasks effectively.
• Keen attention to detail.
• Subject matter expertise of healthcare industry quality metrics, Medicare Stars and HEDIS standards.

Role: Data & Analytics Technical Program Manager (TPM)

LOCATION: PHOENIX, AZ (HYBRID)

Full-Time/Direct Hire

Overview

We are looking for a Data & Analytics TPM to lead delivery of enterprise data initiatives and help

scale the company’s analytics platform. This role will coordinate data engineering, analytics, and

business teams to deliver high-impact data products and insights.

Ideally we need someone who is comes from a core hands-on technical Data & Analytics background and transitioned in to Program Management.

Responsibilities

• Lead delivery of data platform and analytics programs.
• Manage initiatives across Snowflake, data pipelines, and BI analytics.
• Coordinate data engineering, analytics, and business stakeholders.
• Track roadmap, milestones, and execution for data initiatives.
• Drive adoption of dashboards, data products, and analytics capabilities.

Qualifications

• 5–8+ years in Technical Program Management or Data/Analytics programs
• Must have experience Technical experience in Snowflake, ETL, BI Analytics, AWS Cloud.
• Experience with modern data platforms (Snowflake, ETL pipelines, cloud)
• Strong stakeholder and program management skills
• Experience working with data engineering and analytics teams

• Pet First – Protect & Empower. All pets should Live their Best Life. We put the needs of pets and pet parents at the center of everything we do.
• Foster the Fun – Connect & Bond. Our Passion for pets brings us together! We celebrate the journey of pet parenthood through district experiences, products, and services.
• Let’s Go! Own & Commit. We are stronger as One Petco team. We bring our unique superpowers and champion authenticity in everyone to drive success.
  

• Define and execute the multi-year product strategy for Membership, Customer Data, and Loyalty platforms.
• Develop and maintain a prioritized product roadmap aligned with enterprise growth, retention, and customer lifetime value (CLV) objectives.
• Identify opportunities to leverage customer data to drive personalization, engagement, and revenue growth.
  

• Lead development and optimization of customer data capabilities, including:
  • Identity resolution and profile unification
  • Data governance and compliance (GDPR, CCPA, etc.)
  • Segmentation and audience management
  • Real-time personalization enablement
• Partner with Engineering and Data teams to evolve CDP, CRM, and marketing technology stacks.
• Ensure scalable architecture to support omnichannel retail environments.
  

• Own digital product capabilities supporting loyalty enrollment, rewards management, tiering, promotions, and engagement campaigns.
• Optimize customer lifecycle journeys from acquisition through retention.
• Develop features that enhance member value proposition and drive repeat purchase behavior.
• Measure and improve loyalty program ROI, retention rate, and lifetime value.
  

• Lead agile product teams and collaborate closely with:
  • Engineering
  • Data Science & Analytics
  • Marketing & CRM
  • eCommerce
  • Store Operations
  • Finance & Legal
• Serve as the voice of the customer and translate business objectives into clear product requirements.
• Align stakeholders around KPIs and measurable outcomes.
  

• Define success metrics and KPIs (CLV, retention, engagement, incremental revenue, NPS).
• Use data and experimentation (A/B testing, cohort analysis) to drive product decisions.
• Build executive-level reporting and business cases for investment prioritization.
  

• 5+ years of product management experience, with 3+ years in digital product leadership.
• Deep expertise in customer data management, CDPs, CRM systems, and loyalty platforms.
• Experience in retail, specialty retail, consumer brands, or omnichannel environments.
• Proven track record of delivering data-driven personalization initiatives.
• Strong understanding of privacy regulations and data governance frameworks.
• Experience leading agile product teams and influencing cross-functional stakeholders.
• Demonstrated ability to manage complex platform integrations and enterprise-scale systems.
  

• Experience working in a multi-billion-dollar retail organization.
• Background in subscription or membership-based business models.
• Familiarity with leading CDP and CRM ecosystems (e.g., Salesforce, Adobe, Tealium, etc.).
• MBA or advanced degree in business, technology, or related field.
  

• Strategic thinker with strong commercial acumen
• Data-driven decision maker
• Influential communicator with executive presence
• Customer-obsessed mindset
• Bias for action and measurable impact
• Ability to operate in fast-paced, matrixed organizations
  

Role : Technical Product Manager ( Data Analytics )

Location - Austin, TX (Onsite) - only Local to Texas (other states don't apply)

Exp Req : 10+

Rate : $55/Hr on W2 Max

Skills Mandatory :

1, Marketing Data Analysis knowledge.

2, KPI and metrics definition on Marketing Data. Mainly for media product.

3, Instrumentation knowledge and through process.

Original JD:

• Key Qualification 7+ years of experience in a Data Visualization, Data Scientist, or Data Analyst role, preferably for a digital subscription business.
• Strong proficiency with SQL-based languages is required. Experience with large-scale data technologies such as Hadoop, PySpark
• Proficiency with data visualization tools such as Tableau, , and/or MicroStrategy for analysis, insight synthesis, data product delivery, and executive presentation.
• You have a curious business mindset with an ability to condense complex concepts and analysis into clear and concise takeaways that drive action.
• Excellent communication, social, and presentation skills with meticulous attention to detail.
• Strong time management skills with the ability to handle multiple projects with tight deadlines and executive visibility.
• Be known for successfully bridging analytics and business teams, with an ability to speak the language of both.

Job Description :

• Build dashboards, self-service tools, and reports to analyze and present data associated with customer experience, product performance, business operations, and strategic decision-making.
• Create datasets, Develop global dashboards, data pipelines, sophisticated security controls, and scalable ad-hoc reporting
• Closely partner with our Data Science team to define metrics, datasets, and automation strategy
• Engage with Product, Business, Engineering, and Marketing teams to capture requirements, influence how our services are measured, and craft world-class tools to support those partners.
• Establish a comprehensive roadmap to communicate and manage our commitments and stakeholder expectations while enabling org-wide transparency on progress.
• Focus on scale and efficiency - create and implement innovative solutions and establish best practices across our full scope of delivery
• Education Minimum of a Bachelor’s degree in Computer Science, Statistics, Mathematics, Engineering, Economics, or related field. Technical Product Management

Key Qualifications :

• Experience in a Technical Product Management role, preferably for a digital-media or subscription business.
• Knowledge of Client-Server metrics logging strategies as well as data architecture required for analysis
• Hands-on experience with the end-to-end data lifecycle across petabyte-scale technologies
• Prior experience in a technical role (preferably as a data analyst or engineer), delivering data insights to stakeholders
• Strong experience designing and driving product strategy cross-functionally, collaborating with partners of various technical levels.

Nice to have :

• Experience in data-related programming languages (e.g. SQL, PySpark, Python, or R)

Description :

• Data is our product. We are looking for a self-starting, upbeat individual with excellent communication skills who is passionate about managing and developing critical datasets to maximize Data Science capabilities. You should have a strong interest in driving large-scale data products, engaging with key business stakeholders, and driving critical communications throughout the business.

Stephen

Lead Talent Acquisition Specialist

Email :