Array Declaration In Data Structure Jobs Hiring Now Jobs in Usa

The Director of Data Management and Analytics drives the data architecture strategy across the organization. This role is a subject matter expert in data architecture who translates business needs into technical specifications, provides research, data analysis, and delivery options to support data driven solutions. This leader provides well organized and excellent communication with business partners to build relationships and anticipate user needs. The director provides hands-on leadership, recommends system architecture, and is versed in all aspects of solution development including requirements definition, design, data source mapping and analysis, development, testing, implementation, and post implementation support.

KEY RESPONSIBILITIES

• Developing and implementing data management strategies
• Manage all intake requests across business units; track and monitor requests to ensure critical milestones are met while managing stakeholder relations.
• Lead a team of database and Power BI developers
• Leverage Data Modeling and AI tools
• Managing data quality and accuracy
• Overseeing data storage and retrieval
• Leading data analysis efforts including analyzing large quantities of data and identifying useful insights to drive business decisions
• Determine budgeting for staff and resources
• Gathering and verifying requirements, conducting unit testing and troubleshooting
• Accountable for transferring data, knowledge, and best practices to impact the delivery of products and services that align with Bioworld’s strategic needs
• Mentoring and training direct reports
• Ensure all data warehouse and operating procedures are fully documented and maintained
• Create and Automate reporting to support daily operational functions
• Coordinate cross-departmentally to support conceptualization and development of data handling methodologies, solutions and initiatives.
• Creating and presenting data visualizations
• Communicating business insights and project goals

QUALIFICATIONS AND EXPERIENCE

• Experience designing data management solutions for ecommerce, sales, accounting, and warehousing
• Strong analytical and problem-solving skills are required. Must have the ability to be systematic and detailed oriented without losing sight of the big picture. Demonstrated ability to interpret the information provided and ask clarifying questions to understand the underlying needs that of a stated request or problem.
• Background in data warehouse design (e.g. dimensional modeling) and data mining
• Proven experience as a SQL Developer or Data Scientist
• Experience designing cloud solutions (PaaS/SaaS) for compute, storage, and data source connectivity
• Demonstrated experience designing and managing solutions built on Microsoft Azure including Synapse and Fabric technologies.
• Demonstrated knowledge of SDLC, ITSM, privacy, and security concepts.
• Strong project management acumen
• Strong technical documentation skills
• Significant application development experience including requirements analysis, design, development, testing, implementation, and post implementation support is required. Experience must include the documentation and maintenance of related artifacts.
• Excellent written and oral communication skills; able to flex style based on the audience are required.
• Well-developed interpersonal skills
• Able to manage multiple tasks simultaneously.
• Highly self-motivated with ability to follow directed priorities.
• Keen attention to detail
• Team-oriented and collaborative leadership

EDUCATION REQUIREMENT

Bachelor’s degree in Computer Science, Data Analytics, Business Management, or similar discipline with a minimum 7 years of data architecture and solution development experience driving IT projects in consumer products, ecommerce, or similar related field.

BUSINESS HOURS

• Hours of operation: Monday-Friday: 8:30am – 5:30pm CST to overlap with USA operations; extended work hours depending on volume.
• On-call availability for resolving emergency issues from home.

Staff Data Scientist – Post Sales

Location: San Francisco (Hybrid)

Salary: $200–250k base + RSUs

This fast-growing Series E AI SaaS company is redefining how modern engineering teams build and deploy applications. We’re expanding our data science organization to accelerate customer success after the initial sale—driving onboarding, retention, expansion, and long-term revenue growth.

About the Role

As the senior data scientist supporting post-sales teams, you will use advanced analytics, experimentation, and predictive modeling to guide strategy across Customer Success, Account Management, and Renewals. Your insights will help leadership forecast expansion, reduce churn, and identify the levers that unlock sustainable net revenue retention.

Key Responsibilities

• Forecast & Model Growth: Build predictive models for renewal likelihood, expansion potential, churn risk, and customer health scoring.
• Optimize the Customer Journey: Analyze onboarding flows, product adoption patterns, and usage signals to improve activation, engagement, and time-to-value.
• Experimentation & Causal Analysis: Design and evaluate experiments (A/B tests, uplift modeling) to measure the impact of onboarding programs, success initiatives, and pricing changes on retention and expansion.
• Revenue Insights: Partner with Customer Success and Sales to identify high-value accounts, cross-sell opportunities, and early warning signs of churn.
• Cross-Functional Partnership: Collaborate with Product, RevOps, Finance, and Marketing to align post-sales strategies with company growth goals.
• Data Infrastructure Collaboration: Work with Analytics Engineering to define data requirements, maintain data quality, and enable self-serve dashboards for Success and Finance teams.
• Executive Storytelling: Present clear, actionable recommendations to senior leadership that translate complex analysis into strategic decisions.

About You

• Experience: 6+ years in data science or advanced analytics, with a focus on post-sales, customer success, or retention analytics in a B2B SaaS environment.
• Technical Skills: Expert SQL and proficiency in Python or R for statistical modeling, forecasting, and machine learning.
• Domain Knowledge: Deep understanding of SaaS metrics such as net revenue retention (NRR), gross churn, expansion ARR, and customer health scoring.
• Analytical Rigor: Strong background in experimentation design, causal inference, and predictive modeling to inform customer-lifecycle strategy.
• Communication: Exceptional ability to translate data into compelling narratives for executives and cross-functional stakeholders.
• Business Impact: Demonstrated success improving onboarding efficiency, retention rates, or expansion revenue through data-driven initiatives.

Job Title – Lead Data Engineer

Please note this role is not able to offer visa transfer or sponsorship now or in the future

About the role

As a Lead Data Engineer, you will make an impact by designing, building, and operating scalable, cloud‑native data platforms supporting batch and streaming use cases, with strong focus on governance, performance, and reliability. You will be a valued member of the Data Engineering team and work collaboratively with cross‑functional engineering, cloud, and architecture stakeholders.

In this role, you will:

• Design, build, and operate scalable cloud‑native data platforms supporting batch and streaming workloads with strong governance, performance, and reliability.
• Develop and operate data systems on AWS, Azure, and GCP, designing cloud‑native, scalable, and cost‑efficient data solutions.
• Build modern data architectures including data lakes, data lakehouses, and data hubs, with strong understanding of ingestion patterns, data governance, data modeling, observability, and platform best practices.
• Develop data ingestion and collection pipelines using Kafka and AWS Glue; work with modern storage formats such as Apache Iceberg and Parquet.
• Design and develop real‑time streaming pipelines using Kafka, Flink, or similar streaming frameworks, with understanding of event‑driven architectures and low‑latency data processing.
• Perform data transformation and modeling using SQL‑based frameworks and orchestration tools such as dbt, AWS Glue, and Airflow, including Slowly Changing Dimensions (SCD) and schema evolution.
• Use Apache Spark extensively for large‑scale data transformations across batch and streaming workloads.

Work model

We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a hybrid position requiring 4 days a week in a client or Cognizant office in Atlanta, GA. Regardless of your working arrangement, we are here to support a healthy work-life balance though our various wellbeing programs.

The working arrangements for this role are accurate as of the date of posting. This may change based on the project you’re engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.

What you need to have to be considered

• Hands‑on experience developing and operating data systems on AWS, Azure, and GCP.
• Proven ability to design cloud‑native, scalable, and cost‑efficient data solutions.
• Experience building data lakes, data lakehouses, and data hubs with strong understanding of ingestion patterns, governance, modeling, observability, and platform best practices.
• Expertise in data ingestion and collection using Kafka and AWS Glue, with experience in Apache Iceberg and Parquet.
• Strong experience designing and developing real‑time streaming pipelines using Kafka, Flink, or similar streaming frameworks.
• Deep expertise in data transformation and modeling using SQL‑based frameworks and orchestration tools including dbt, AWS Glue, and Airflow, with knowledge of SCD and schema evolution.
• Extensive experience using Apache Spark for large‑scale batch and streaming data transformations.

These will help you stand out

• Experience with event‑driven architectures and low‑latency data processing.
• Strong understanding of schema evolution, SCD modeling, and modern data modeling concepts.
• Experience with Apache Iceberg, Parquet, and modern ingestion/storage patterns.
• Strong knowledge of observability, governance, and platform best practices.
• Ability to partner effectively with cloud, architecture, and engineering teams.

Salary and Other Compensation:

Applications will be accepted until March 17, 2025.

The annual salary for this position is between $81,000 - $135,000, depending on experience and other qualifications of the successful candidate.

This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.

Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:

• Medical/Dental/Vision/Life Insurance
• Paid holidays plus Paid Time Off
• 401(k) plan and contributions
• Long‑term/Short‑term Disability
• Paid Parental Leave
• Employee Stock Purchase Plan

Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.

Our client, a luxury fashion brand, is seeking a CRM Data Analyst Temp to join their NYC team on a temporary basis.

Responsibilities:

• Transform complex client analyses into clear, concise, and visually engaging PowerPoint presentations, influencing stakeholders through compelling data-driven narratives.
• Use product knowledge of our systems, tools, and the client database to identify and implement innovative approaches to client analysis
• Create insightful reports that enable data-driven decisions for home office partners, and proactively explore and implement automation opportunities to enhance efficiency
• Collaborate with key home office partners (e.g. VIC, Fashion Expertise, Events, Retail Operations, Merchandising teams) to support respective team goals and inform strategies with client data
• Dynamically support boutiques with complex client reporting needs and initiatives
• Spend time with boutique teams to understand their individual needs and collaborate on ways to support Fashion Advisors with client data and client tools
• Liaise with divisional counterparts to unlock synergies and align on key initiatives and priorities
• Demonstrate expert-level knowledge of current client data tools (Salesforce, Looker) to pull with speed, and proactively identify and communicate process improvements to enhance efficiency and effectiveness of reporting and segmentation tools as needed
• Project manage the implementation of database and/or tool enhancements from concept to QA and final delivery in order to meet the evolving needs of business partners and team, collaborating closely with Tech to translate business requirements into actionable technical specifications

Qualifications:

• 7+ years experience in data analytics or strategy/business intelligence role
• Experience with Salesforce
• Experience with Looker Studio
• Prior professional experience collaborating with cross-functional partners to design and launch a new technical platform
• Familiarity with IT functions, including system architect and landscape
• Expertise in Excel and PowerPoint
• Ability to communicate ideas effectively to a range of audiences (written & verbal)
• Luxury retail and/or brand experience preferred

Please submit your resume for consideration.

You can use to collect and manage your references for free and share them with us or anyone else you choose. Candidates with references are always preferred by our clients. Now is the most important time to stand out from the crowd. We suggest that you ensure you have updated your LinkedIn profile and that you start collecting your references early.

Who We Are

At Feetures, movement is our business. And we believe that a meaningful business begins with authentic values—and our values were forged by the bonds of family.

What started as a bold idea around a kitchen table has grown into a fast-moving, purpose-driven brand redefining performance. As a family-owned company in North Carolina, we’re fueled by the belief that better is always possible—and that energy drives both our products and our culture.

Movement is at the heart of everything we do. From our socks to our team and to our communities, we are always pushing forward. If you are ready to grow, challenge the status quo, and help shape the next chapter of a brand that is always in stride, come move with us. Feetures is Meant to Move. Are you?

Role Summary:

The Data Analytics Manager is responsible for owning and optimizing the organization’s end-to-end data ecosystem, ensuring that data infrastructure, governance, and analytics processes effectively support business operations. This role leads the design and management of the data stack—from source system integrations and NetSuite Analytics Warehouse to reporting and business intelligence tools—while establishing strong data governance standards, quality monitoring, and documentation practices. The manager also oversees and mentors analytics team members, prioritizes analytics requests, and coordinates cross-functional data workflows. Acting as the central authority for data reliability and insights, the role ensures consistent metric definitions, scalable data models, and accurate reporting while translating complex data into clear, actionable insights for business stakeholders.

Responsibilities:

Data Architecture & Tooling

• Own the end-to-end data stack — from source system integrations and the NetSuite Analytics Warehouse to downstream reporting layers
• Evaluate, select, and implement tools that improve data accessibility, reliability, and performance
• Ensure alignment between data infrastructure and evolving business needs across distribution operations
• Design and maintain scalable data models, SuiteQL queries, and saved searches within NetSuite

Data Governance & Quality

• Define and enforce data standards, metric definitions, and naming conventions across all business domains
• Establish data ownership, lineage documentation, and access governance policies
• Implement monitoring and alerting for data quality issues across source systems and the warehouse
• Build and maintain a data dictionary that serves as the single source of truth for the organization

Orchestration of Analysts & Systems

• Manage and mentor the Data Analyst and Business Analyst — prioritizing requests, unblocking work, and validating outputs
• Triage and prioritize the analytics request queue in alignment with business stakeholders and IT leadership
• Coordinate cross-functional data workflows and ensure handoffs between systems and analysts are clean and documented
• Serve as the escalation point for data discrepancies, report failures, and analytical questions from the business

Qualifications:

Required

• 3-5 years of experience in data analytics, business intelligence, or data engineering
• 2+ years in a lead or management role overseeing analysts or data team members
• Strong proficiency in SQL; experience with SuiteQL or similar ERP query languages
• Hands-on experience with NetSuite, including Analytics Warehouse, saved searches, and reporting
• Proven track record establishing data governance standards and documentation practices
• Experience integrating and managing multiple data sources across SaaS and ERP platforms
• Demonstrated ability to translate complex data into clear, actionable insights for non-technical stakeholders

Preferred

• Experience in distribution, wholesale, or supply chain environments
• Familiarity with SaaS BI platforms (e.g., Tableau, Power BI, Looker, or embedded analytics)
• Exposure to scripting or automation (JavaScript, Python, or similar) for data workflows
• Background working within IT-led or hybrid IT/Analytics teams

Benefits:

• Health insurance
• Dental insurance
• Vision insurance
• Life & Disability insurance
• 401(K) with company match

Company Paid holidays and PTO:

• Feetures offers 20 PTO Days which are available to you on day one of employment and are available to all employees, no matter your role. After working at Feetures for 5 years, your PTO days will increase to 25 days. Days can be used for vacations, appointments and sick days.
• We offer 10 company paid holidays and 1 floating holiday per year.

Perks:

• Parking provided (Charlotte office and onsite at Hickory office)
• Employee Engagement team
• Monthly stipend to pursue an active lifestyle

Feetures is an Equal Opportunity Employer that welcomes and encourages all applicants to apply regardless of age, race, sex, religion, color, national origin, disability, veteran status, sexual orientation, gender identity and/or expression, marital or parental status, ancestry, citizenship status, pregnancy or other reasons protected by law.

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 :

About US

C5i is a pure-play AI & Analytics provider that combines the power of human perspective with AI technology to deliver trustworthy intelligence. The company drives value through a comprehensive solution set, integrating multifunctional teams that have technical and business domain expertise with a robust suite of products, solutions, and accelerators tailored for various horizontal and industry-specific use cases. At the core, C5i’s focus is to deliver business impact at speed and scale by driving adoption of AI-assisted decision-making.

C5i caters to some of the world’s largest enterprises, including many Fortune 500 companies. The company’s clients span Technology, Media, and Telecom (TMT), Pharma & Lifesciences, CPG, Retail, Banking, and other sectors. C5i has been recognized by leading industry analysts like Gartner and Forrester for its Analytics and AI capabilities and proprietary AI-based platforms.

Global offices

United States | Canada | United Kingdom | United Arab of Emirates| India

Job Description:

Overview: This role involves building data products to extract valuable business insights and requires a highly analytical individual with strong problem-solving skills and a passion for machine learning and research.

Responsibilities

• Undertake data collection, preprocessing, and analysis
• Build models to address business problems
• Present information using data visualization techniques
• Propose solutions and strategies to business challenges
• Collaborate with engineering and product development teams
• Develop machine learning algorithms
• Conduct data-driven experiments to drive business decisions

Required Skills

• Data mining
• Machine learning and operations research
• Proficiency in R, SQL, and Python (knowledge of Scala, Java, or C++ is a plus)
• Experience with business intelligence tools (e.g., Tableau) and data frameworks (e.g., Hadoop)
• Strong math skills (e.g., statistics, algebra)
• Analytical mind and business acumen
• Excellent communication and presentation skills
• Preferred Algorithms and Use Cases:
• Text Analytics: Natural Language Processing (NLP) algorithms for sentiment analysis, text classification, named entity recognition.
• Voice Analytics: Speech recognition, voice-to-text conversion, emotion detection in voice.
• Image Analytics: Image classification, object detection, facial recognition.

Qualifications

• Proven 5+ years of experience as a Data Scientist or Data Analyst
• Bachelor's or master's degree in computer science, Engineering, or relevant field; graduate degree in Data Science or other quantitative field is preferred

C5i is proud to be an equal opportunity employer. We are committed to equal employment opportunity regardless of race, color, religion, sex, sexual orientation, age, marital status, disability, gender identity, etc. If you have a disability or special need that requires accommodation, please keep us informed about the same at the hiring stages for us to factor necessary accommodations.

LHH Recruitment Solutions has partnered with a growing organization, and they are seeking a motivated Manufacturing Data & Sales Analyst to join their team. Seeking a data-driven analytics professional who thrives at the intersection of manufacturing operations, business intelligence, and executive decision support. This is a high-impact role for someone who enjoys building insight from the ground up—designing dashboards, automating reporting, owning data integrity, and translating complex information into clear, actionable business outcomes.

Why This Role Stands Out:

• High visibility and direct partnership with senior leadership.
• Opportunity to own and evolve enterprise-level analytics and reporting.
• Manufacturing environment where data truly drives strategy.
• Long-term growth potential in a stable, well-capitalized organization.

Key Responsibilities:

Data, Analytics & Reporting:

• Design, build, and continuously enhance dashboards, scorecards, and KPI reporting to support operational and commercial performance.
• Translate raw data into meaningful insights that influence decision-making at the executive level.
• Automate recurring reports and analytics processes to improve efficiency, accuracy, and scalability.
• Analyze trends related to revenue, production performance, forecasting, and product initiatives.

Manufacturing & Cross-Functional Partnership:

• Collaborate closely with Operations, Finance, IT, and Commercial teams to align data, metrics, and performance goals.
• Support forecasting, planning cycles, and performance reviews with reliable, actionable analytics.
• Identify risks, opportunities, and performance gaps within data sets and recommend solutions.

Systems & Data Ownership:

• Act as the primary owner of manufacturing and sales-related data systems, ensuring usability, accuracy, and value.
• Lead continuous improvement of reporting tools and system integrations.
• Partner with internal and external stakeholders to enhance system reporting capabilities.
• Champion data governance, consistency, and best practices across the organization.

Qualifications and Skills:

• Bachelor’s Degree in Data Science, Analytics, Business Intelligence, or a related field
• Proven experience building and maintaining dashboards, scorecards, and analytics tools.
• Background supporting a manufacturing environment.
• Strong ability to own data end-to-end—from extraction to interpretation to executive presentation.
• Experience automating reporting and analytics processes.
• Advanced analytical, problem-solving, and critical-thinking skills.
• Ability to clearly communicate insights to both technical and non-technical audiences.
• Advanced proficiency with Excel, reporting platforms, and Microsoft Office Suite.
• Advanced proficiency in SQL, PowerBI, and/or Tableau.
• Experience with IQMS is preferred.
• Strategic mindset with exceptional attention to detail.

Compensation Range: $90,000 - $120,000 + 15% Bonus

Benefits Offered: 2 weeks of vacation, paid sick leave where applicable by state law, Medical Insurance, Dental Insurance Vision Insurance, 401K, and Life Insurance.

If you are a passionate Manufacturing Data & Sales Analystlooking for anew and rewarding career, please apply today! You don’t want to miss out on this opportunity!

LHH is a leader in permanent recruitment—and in the placement of top talent. Our areas of specialty include office administration, customer service, human resources, engineering, and supply chain and logistics. Please feel to check us out and apply for other opportunities if this role isn’t a perfect match.

Equal Opportunity Employer/Veterans/Disabled

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About Cygnus Professionals, Inc.

Cygnus is a Princeton, NJ-headquartered global Business IT consulting and software Services firm with offices in the USA and Asia. Cygnus offers and enables innovation and helps our clients accelerate time to market & grow their business. Over 15 years, we have taken great pride in continuing our deep relationships with our clients.

For further information about CYGNUS, please visit our website Title: Data Architect

Location: Princeton, New Jersey – Onsite

W2 Contract

Job Summary

We are seeking an experienced Data Architect to design, build, and maintain scalable data architecture solutions supporting enterprise analytics, data integration, and digital transformation initiatives. The ideal candidate will work closely with business stakeholders, data engineers, and application teams to design robust data models, data pipelines, and enterprise data platforms that support advanced analytics and reporting.

Key Responsibilities

• Design and implement enterprise data architecture frameworks and best practices.
• Develop logical and physical data models for enterprise data platforms.
• Architect data lakes, data warehouses, and data integration solutions across cloud and on-prem environments.
• Collaborate with data engineers and application teams to build scalable data pipelines and ETL/ELT processes.
• Ensure data governance, data quality, security, and compliance standards are implemented across the data ecosystem.
• Evaluate and recommend data technologies, tools, and frameworks aligned with enterprise strategy.
• Provide architectural guidance for cloud-based data platforms (AWS/Azure/GCP).
• Optimize performance for large-scale data processing and analytics workloads.
• Support business intelligence, reporting, and advanced analytics initiatives.

Required Qualifications

• 10+ years of experience in data architecture, data engineering, or enterprise data management.
• Strong experience with data modeling (conceptual, logical, physical).
• Expertise with data warehouse and data lake architectures.
• Hands-on experience with ETL/ELT tools and data integration platforms.
• Experience with SQL and large-scale data platforms (Snowflake, Redshift, BigQuery, etc.).
• Experience working with cloud data platforms (AWS, Azure, or GCP).
• Strong understanding of data governance, data quality, and metadata management.
• Experience with big data technologies (Spark, Hadoop, Kafka) is a plus.

Preferred Skills

• Experience in Healthcare, Pharmaceutical, or Life Sciences domain.
• Knowledge of Master Data Management (MDM) and data catalog tools.
• Familiarity with BI tools such as Tableau, Power BI, or Looker.
• Strong communication skills to interact with business and technical teams.

Education

• Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Science, or related field.

Cygnus Belief

We believe in our commitment to diversity & inclusion.

Equal Employment Opportunity Statement

Cygnus is an Equal Opportunity Employer. We ensure that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion, or sexual orientation.

All our employment decisions are taken without looking into age, race, creed, color, religion, sex, nationality, disability status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status, or any other aspects of employment protected by federal, state, or local law. Applicants for employment in the US must have work authorization.