What Is Data Driven Development Jobs in Usa

• Own and manage clinical data management activities for assigned early-phase oncology studies, ensuring data quality, integrity, and inspection readiness.
• Serve as the primary owner and administrator of the company’s Medidata platform, including Cloud Admin configuration and maintenance, user access management, etc.
• Provide oversight of EDC builds and updates, including review and approval of database specifications and edit check specifications, completion of UAT, etc.
• Develop and implement data review plans and coordinate ongoing external and internal data cleaning and query management activities.
• Review data listings to support study oversight and decision-making.
• Collaborate cross-functionally with Clinical Operations, Clinical Science, Biostatistics, Medical, and external vendors/CROs to ensure alignment and timely data delivery.
• Monitor data management metrics and reports to ensure compliance with protocols and study plans.
• Contribute to process improvement, SOP development, and inspection readiness activities as the clinical organization continues to scale.
  
  

• Bachelor’s degree in life sciences, data science, or a related field.
• 6+ years of clinical data management experience, with at least 3 years in oncology clinical trials.
• Prior experience in early-phase (Phase 1/1b/2) oncology trials within a biotech or CRO setting.
• Extensive hands-on experience with Medidata including Cloud Admin and Rave EDC.
• Elluminate administration experience a plus
• Strong understanding of CDISC standards.
• Experience working with CROs and vendors, including oversight of outsourced data management activities.
• Working knowledge of GCP, ICH, and regulatory expectations for clinical data.
• Highly detail-oriented with strong organizational and problem-solving skills.
• Adaptable mindset with interest in helping build and scale data management capabilities.
  
  

Overall Responsibility:

This role supports the design, development, and optimization of Arora’s enterprise data and ERP systems. This role reports directly under the Data Analytics Manager to improve financial reporting, support platform integrations, and build scalable data architecture that enables informed decision-making across the organization.

The position combines technical execution (SQL, automation, system configuration) with financial reporting support and cross-platform integration work to ensure accuracy, efficiency, and long-term system sustainability.

Essential Functions:

• Execute reporting and system requests in alignment with established data governance standards and reporting frameworks under the direction of the Data Analytics Manager.
• Contribute to the design of data models and system workflows that reduce manual processes and improve cross-functional data visibility.
• Support internal dashboards by creating backend data solutions and integrating with Vision.
• Provide system-level troubleshooting and ensure data consistency and reliability across platforms.
• Collaborate with teams to streamline processes through automation and data tools.
• Maintain documentation of data procedures, workflows, and system modifications.
• Support financial reporting and analysis by developing standardized, scalable reporting solutions aligned with company-wide data architecture.
• Assist in translating financial and operational requirements into structured reporting outputs and automation workflows.
• Assist in platform integrations (ERP, CRM, BI tools, and other enterprise systems) to support long-term architectural alignment and scalability.

Needed Skills:

• Ability to program in SQL at an expert level to assist data processes. Potential need for other programming language knowledge (Java, Python, etc.).
• Ability to create and maintain productive relationships with employees, clients, and vendors.

Education/Experience Minimum:

• 3-5 years of experience
• Strong programming skills having the ability to write complex queries.
• Preferred familiarity with all Microsoft platforms, including but not limited to Excel, Power BI, SharePoint, and SQL Server.
• Preferred experience with Deltek Vision v7.6 and VantagePoint
• Experience in building automated processes and data workflows.
• Strong problem-solving and attention to detail.

Title : Data QA Engineer

Location: Minneapolis , Dallas , Atlanta (Onsite)

Job Type : Contract

Exp : 8-15 Years

Key Responsibilities:

• Design, build, and maintain automated data quality frameworks to validate accuracy, completeness, consistency, and timeliness of data.
• Develop automation scripts using Python/SQL to test data pipelines, ETL/ELT processes, and analytics workflows.
• Implement data quality checks and monitoring within Azure-based data platforms.
• Work extensively with Azure services (ADF, ADLS, Synapse) and Databricks for large-scale data processing.
• Integrate data quality validations into CI/CD pipelines and support proactive issue detection.
• Perform root cause analysis for data issues and collaborate with data engineering, analytics, and business teams to resolve them.
• Define and enforce data quality standards, metrics, and SLAs.

Required Skills & Qualifications:

• Strong experience (8–15 years) in data engineering, data quality, or data automation roles.
• Hands-on expertise with Azure data ecosystem and Databricks.
• Strong programming skills in Python and SQL.
• Experience building automated data validation and reconciliation frameworks.
• Solid understanding of data warehousing, data lakes, and distributed data processing.
• Familiarity with DevOps/CI-CD practices for data platforms.

Preferred Skills:

• Experience with data observability or data quality tools.
• Exposure to cloud-scale analytics and performance optimization.
• Strong communication and stakeholder management skills.

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• Administer and operate Microsoft Purview Data Map and Data Catalog environments.
  
• Monitor platform health, scan execution, metadata ingestion, and lineage availability.
  
• Troubleshoot and resolve catalog, scan, and connectivity issues.
  
• Perform routine maintenance, configuration updates, and service optimizations.
  
• Coordinate incident resolution with internal engineering teams and Microsoft support as required.
  

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• Register, configure, and maintain data sources across Azure, M365, on?prem, and approved third?party platforms.
  
• Configure and schedule metadata scans for supported sources.
  
• Manage authentication for scans using managed identities, service principals, and Key Vault secrets.
  
• Monitor scan performance, failures, and coverage; take corrective action as needed.
  
• Optimize scan frequency and scope to balance cost, performance, and governance coverage.
  

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• Maintain and enforce enterprise metadata standards within the Purview Catalog.
  
• Manage business metadata, classifications, glossary terms, and custom attributes.
  
• Ensure metadata accuracy, completeness, and consistency across data assets.
  
• Support curation activities including asset certification and publishing.
  
• Resolve duplicate, incomplete, or stale catalog entries.
  

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• Enable and validate data lineage ingestion from supported data platforms.
  
• Monitor lineage completeness and visibility for critical data assets.
  
• Assist data consumers and stewards with lineage?based impact analysis.
  
• Escalate lineage gaps or tool limitations requiring architectural or engineering remediation.
  

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• Configure and manage Purview role?based access control (RBAC) within collections.
  
• Provision and maintain access for administrators, data curators, and data stewards.
  
• Enforce domain?based access controls and separation of duties.
  
• Integrate Purview access with Microsoft Entra ID.
  
• Support sensitivity labels and classification alignment with Microsoft Information Protection.
  

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• Support automated discovery of sensitive data (PII, PCI, PHI).
  
• Assist risk, audit, and compliance teams with catalog evidence and reporting.
  
• Validate scan coverage for regulated data domains.
  
• Support regulatory and audit initiatives (SOX, GLBA, NYDFS, GDPR, etc.).
  

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• Provide operational support to data producers, consumers, and data stewards.
  
• Respond to access requests, catalog issues, and usage questions.
  
• Maintain operational documentation, runbooks, and standard operating procedures.
  
• Support onboarding of new data domains following established governance patterns.
  
• Assist with training and adoption initiatives led by governance or architecture teams.
  

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• 5+ years experience supporting enterprise data platforms or governance tools and 4+ years hands?on MS Purview experience at enterprise scale.
  
• Hands?on experience administering Microsoft Purview Data Catalog.
  
• Strong understanding of metadata management, data classification, and lineage concepts.
  
• Working knowledge of Azure data services and enterprise data ecosystems.
  
• Experience managing access controls and identities using Microsoft Entra ID.
  
• Familiarity with regulated data environments and compliance requirements.
  
• Strong troubleshooting, operational support, and documentation skills.
  

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• Experience supporting Purview integrations with Synapse, Fabric, Databricks, Snowflake, or SQL Server.
  
• Exposure to financial services or other regulated industries.
  
• Experience with PowerShell, REST APIs, or basic automation for operational tasks.
  
• Prior experience supporting enterprise data governance or stewardship programs.
  

Join a leading pharmaceutical company’s Data Science team, where you’ll drive and lead advanced analytics across Marketing, Sales, and Access. As Associate Director (Or Sr Manager), A HIGH LEVEL INDIVIDUAL CONTRIBUTOR, you’ll lead strategic initiatives from predictive modeling and personalization to field force optimization, delivering scalable solutions that inform commercial decisions and enhance patient engagement. Deep experience in pharmaceutical marketing analytics is essential to translate brand strategy into actionable insights.

Keywords: MMM, Next Best Action, NLP, Data Science, HCP, GenAI

Location: Onsite 3 days a week in Cambridge, MA

Key Responsibilities

• Lead development and deployment of predictive models, segmentation, NLP, and GenAI tools to solve complex commercial challenges
• Translate pharmaceutical brand objectives into analytics frameworks across marketing, sales, and access
• Design and operationalize Next Best Action strategies to boost omnichannel engagement and HCP ROI
• Build and scale Patient 360 models and targeting algorithms for AI-driven lead generation
• Guide stakeholders through insight activation and integration into workflows
• Champion model governance, experimentation, and analytical rigor
• Collaborate with IT to develop ML Ops environments and productized solutions
• Manage external analytics partners and ensure alignment across data engineering, insights, and compliance

Who You Are

A strategic data scientist with strong business acumen, leadership presence, and deep experience in pharmaceutical marketing analytics. You thrive at the intersection of data and action, delivering measurable impact.

Qualifications

• 5+ years in analytics role within pharmaceutical industry
• Proven experience in pharmaceutical marketing analytics, including brand strategy, HCP engagement, and omnichannel optimization
• Expertise in NBA, MMM, supervised/unsupervised learning, A/B testing, time-series forecasting
• Success in marketing mix modeling, decision engines, and GenAI product design
• Proficient in Python, R, SQL, Snowflake; skilled in Power BI or Tableau
• Familiarity with APLD, PlanTrak, claims, and specialty pharmacy datasets
• Strong communicator with executive presence and cross-functional influence

Send resume to

Our client is a $28B NY based multi-strategy Hedge Fund currently seeking to add a talented Associate to their Data & Performance Analytics Team. This individual will be working closely with senior managers across finance, investment management, operations, technology, investor services, compliance/legal, and marketing.

Responsibilities

• This role will be responsible for Compiling periodical fund performance analyses
• Review and analyze portfolio performance data, benchmark performance and risk statistics
• Review and make necessary adjustments to client quarterly reports to ensure reports are sent out in a timely manner
• Work with all levels of team members across the organization to help coordinate data feeds for various internal and external databases, in effort to ensure the integrity and consistency of portfolio data reported across client reporting systems
• Apply queries, pivot tables, filters and other tools to analyze data.
• Maintain client relationship management database and providing reports to Directors on a regular basis
• Coordinate submissions of RFPs by working with RFP/Marketing Team and other groups internally to gather information for accurate data and performance analysis
• Identifying opportunities to enhance the strategic reporting platform by gathering and analyzing field feedback and collaborating with partners across the organization
• Provide various ad hoc data research and analysis as needed.

Desired Skills and Experience

• Bachelor’s Degree with at least 2+ years of Financial Services/Private Equity data/client reporting experience
• Proficiency in Microsoft Office, particularly Excel Modeling
• Technical knowledge, data analytics using CRMs (Salesforce), Excel, PowerPoint
• Outstanding communication skills, proven ability to effectively work with all levels of Managment
• Comfortable working in a fast-paced, dead-line driven dynamic environment
• Innovative and creative thinker
• Must be detail oriented

Title: Senior Data Analyst

Duration: Long term

Location: Dallas , TX

Job Description:

Primary responsibilities of the Senior Data Analyst include supporting and analyzing data anomalies for multiple environments including but not limited to Data Warehouse, ODS, Data Replication/ETL Data Management initiatives. The candidate will be in a supporting role and will work closely with Business, DBA, ETL and Data Management team providing analysis and support for complex Data related initiatives. This individual will also be responsible for assisting in initial setup and on-going documentation/configuration related to Data Governance and Master Data Management solutions. This candidate must have a passion for data, along with good SQL, analytical and communication skills.

Responsibilities

• Investigate and Analyze data anomalies and data issues reported by Business
• Work with ETL, Replication and DBA teams to determine data transformations, data movement and derivations and document accordingly
• Work with support teams to ensure consistent and pro-active support methodologies are adhered to for all aspects of data movements and data transformations
• Assist in break fix and production validation as it relates to data derivations, replication and structures
• Assist in configuration and on-going setup of Data Virtualization and Master Data Management tools
• Assist in keeping documentation up to date as it relates to Data Standardization definitions, Data Dictionary and Data Lineage
• Gather information from various Sources and interpret Patterns and Trends
• Ability to work in a team-oriented, fast-paced agile environment managing multiple
• priorities

Qualifications

• 4+ years of SQL experience working in OLTP, Data Warehouse and Big Data databases
• 4+ years of experience working with Exadata and SQL Server databases
• 4+ years in a Data Analyst role
• Strong attention to Detail
• 2+ years writing medium to complex stored procedures a plus
• Ability to collaborate effectively and work as part of a team
• Extensive background in writing complex queries
• Extensive working knowledge of all aspects of Data Movement and Processing, including ETL, API, OLAP and best practices for data tracking
• Good Communication skills
• Self-Motivated
• Works well in a team environment
• Denodo Experience a plus
• Master Data Management a plus
• Big Data Experience a plus (Hadoop, MongoDB)
• Postgres and Cloud Experience a plus

Role Summary

We are seeking an experienced Project Manager specializing in Customer Data Management and Enterprise Integrations to lead critical initiatives that enhance data quality, system performance, and cross platform connectivity. This role ensures that high impact projects are delivered on time, aligned with business needs, and executed with technical rigor.

You will guide project teams, manage risks, and drive visibility for leadership while proactively ensuring all dependencies and requirements are clearly defined and executed. The position plays a key role in enabling efficiency across systems including Oracle Fusion, Salesforce, ADP, JDEdwards, and related applications.

Key Responsibilities

• Create and execute detailed project plans for customer data management initiatives and technical enhancement projects

• Lead daily standups and team check ins to track progress and maintain accountability

• Track and report project status, milestones, and risks to leadership and project stakeholders

• Proactively identify and manage risks, dependencies, bottlenecks, and critical escalations

• Serve as the primary liaison between development teams, project managers, and business partners to ensure priorities remain aligned

• Drive the technical development intake process by maintaining and prioritizing the backlog with stakeholders

• Collaborate with cross functional teams including Product, Design, and QA to align timelines and deliverables

• Own test management and implementation planning for major system enhancements, integrations, or go live activities

Key Requirements

• 5 or more years of experience in project management within technology, data management, or enterprise applications

• Strong technical understanding of databases, data analytics, integration technologies, and data management concepts

• Experience with enterprise applications including Oracle Fusion, Salesforce, ADP, JDEdwards, and EPay

• Familiarity with integration platforms such as Microsoft Azure and Boomi

• Ability to manage complex technical dependencies while coordinating across multiple teams

• Excellent communication, stakeholder management, and leadership skills

• Strong organizational abilities with a proactive approach to problem solving

• Adaptability in fast paced environments with shifting priorities

Title: Data Center Technician

Location : Macungie, Pennsylvania, United States

Contract : 1 year with Extension

Job Description:

We are looking for a Level 1 Data Center Technician to support day-to-day operations in the data center. The candidate will assist with basic technical tasks, monitor systems, and ensure the smooth functioning of data center equipment.

Key Responsibilities:

• Monitor data center systems, servers, and network devices.
• Perform basic hardware installation, replacement, and troubleshooting.
• Rack and stack servers, switches, and other equipment.
• Support cable management and labeling in the data center.
• Monitor alerts and escalate issues to Level 2 or senior engineers when required.
• Perform routine checks on power, cooling, and environmental systems.
• Maintain documentation and update asset inventory.
• Assist with system backups and basic maintenance tasks.
• Follow data center security and safety procedures.

Required Skills:

• Basic knowledge of servers, networking, and hardware components.
• Understanding of data center operations and infrastructure.
• Familiarity with operating systems like Windows or Linux (basic level).
• Ability to troubleshoot hardware issues.
• Good communication and documentation skills.

Qualifications:

• Diploma or Bachelor’s degree in IT, Computer Science, or a related field.
• 0–2 years of experience in IT support or data center environment.
• Basic knowledge of networking and hardware support.

Preferred Skills:

• Experience with server hardware installation.
• Knowledge of cable management and rack installation.
• Familiarity with ticketing systems.