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Data Implementation Analyst Jobs in California (NOW HIRING)

The Data & Analytics Analyst role involves interpreting data and providing analytical insights to support business processes, while developing and implementing data systems and strategies.

Data Analyst

Los Angeles, CA ยท On-site

$60K - $70K/yr

Work closely with the AI & Data team on data projects, dashboard development, and implementation of analytics and AI solutions * Conduct ad hoc analysis and reporting requests from leadership ...

Candidates should possess solid knowledge of Statistics and Data Modeling to design, evaluate, and implement robust analytical solutions. * Candidates should possess effective Communication skills to ...

Data Analyst "โ—ฆ Collaborate with cross-functional teams such as Fraud, Legal, Operations, Product and Business Development to design and implement fraud monitoring solutions and fraud prevention ...

Senior Data Analyst

Fremont, CA ยท On-site

$94K - $119K/yr

... implementation using enterprise grade tools such as Adobe Dynamic Tag Management (DTM), Google Tag Manager (GTM), Tealium, Ensighten, etc. (specific to the Digital Analytics Implementation role) โ€ข ...

Data Analyst

Vallejo, CA ยท On-site

$74K/yr

Develop, implement, and maintain data sets related to admissions, enrollment, retention, graduation, licensure exams, financial aid, and survey results. Data Integrity: Ensure the accuracy ...

Senior Data Analyst

Pleasanton, CA ยท On-site

$95K - $120K/yr

Select and implement the appropriate tools, software, applications, and systems to support data technology goals. Oversee the mapping of data sources, data movement, interfaces, and analytics, with ...

... implementation, and management consulting services to various clients - including governmental ... of Data Analysis experience. 2) Should have very good experience on Data Profiling and Data ...

SAP Data Analyst Location: Santa Clara, CA(Hybrid) * Design, develop, and deliver end-to-end ... implementations using SAP BW 7.5 on HANA, native HANA, and BW/4 HANA. * Bachelors or Master ...

Data Analyst

Riverside, CA ยท On-site

$142K/yr

Work closely with cross-functional teams to understand their data needs and provide analytical support. * Assist in the development and implementation of data strategies and initiatives. * Provide ...

Work closely with cross-functional teams to understand their data needs and provide analytical support. * Assist in the development and implementation of data strategies and initiatives. * Provide ...

Design and implement data models and semantic layers that serve as the foundation for business ... analytics, business intelligence, or a related field; Retail or e-commerce experience a plus

New

Data Analyst Job Category: Information Technology Time Type: Full time Minimum Clearance Required ... implementation of data strategies and initiatives. Provide training and support to team members on ...

Showing results 21-40

Data Implementation Analyst information

What is a data implementation analyst?

A Data Implementation Analyst is a professional who specializes in integrating, configuring, and ensuring the successful deployment of data solutions for clients or organizations. They work closely with both internal teams and external stakeholders to understand data requirements, map data sources, and oversee the transfer and validation of data. Their responsibilities often include troubleshooting data issues, optimizing data workflows, and providing technical support during the implementation phase. Strong analytical, technical, and communication skills are essential for this role.

What are some common challenges faced by data implementation analysts during new client onboarding?

Data Implementation Analysts often encounter challenges such as integrating complex client data from various sources, ensuring data accuracy, and adapting to unique client requirements. They must communicate effectively with both technical teams and client stakeholders to clarify data specifications and resolve discrepancies quickly. Time management is critical, as onboarding projects may have tight deadlines and require simultaneous coordination across multiple teams. Successful analysts leverage strong analytical skills and attention to detail to deliver smooth, accurate implementations.

What are the key skills and qualifications needed to thrive as a data implementation analyst, and why are they important?

To thrive as a Data Implementation Analyst, you need strong analytical abilities, knowledge of data management principles, and a relevant degree such as in computer science or information systems. Familiarity with data integration tools, SQL, ETL processes, and sometimes certifications like CBIP (Certified Business Intelligence Professional) are typically required. Exceptional problem-solving skills, attention to detail, and effective communication help you understand client requirements and collaborate with stakeholders. These skills ensure smooth data migrations, accurate implementations, and successful project outcomes in data-driven environments.

What is the difference between Data Implementation Analyst vs Data Analyst?

AspectData Implementation AnalystData Analyst
Primary FocusImplementing data solutions, integrating systems, ensuring data accuracy during deploymentAnalyzing data sets, generating reports, identifying trends and insights
Skills & CertificationsData management, SQL, ETL tools, project managementData visualization, statistical analysis, Excel, SQL
Work EnvironmentIT teams, data engineering, project-based tasksBusiness units, reporting teams, analytics departments

The Data Implementation Analyst primarily focuses on deploying and integrating data systems, ensuring data quality during implementation. In contrast, the Data Analyst concentrates on analyzing existing data to generate insights and reports. Both roles require strong SQL skills and familiarity with data tools, but their core responsibilities and work environments differ significantly.

What are popular job titles related to Data Implementation Analyst jobs in California?

For Data Implementation Analyst jobs in California, the most frequently searched job titles are:

What job categories do people searching Data Implementation Analyst jobs in California look for?

The top searched job categories for Data Implementation Analyst jobs in California are:

What cities in California are hiring for Data Implementation Analyst jobs?

Cities in California with the most Data Implementation Analyst job openings:

Infographic showing various Data Implementation Analyst job openings in California as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 15% Part Time, and 5% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.

Senior Director - Data Architecture,Data Foundry

Information Technology Senior Management Forum

South San Francisco, CA โ€ข On-site

$194 - $339/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago

New


Job description

At Lilly, the work is demanding because patients are waiting. We unite caring with discovery to help make life better for people around the world, knowing that every decision, every detail, and every day matters. Headquartered in Indianapolis, Indiana, our over 50,000 employees around the globe take on complex challenges to discover and deliver life-changing medicines, strengthen how health is understood and managed, and support the communities we serve. This is hard, urgent, selfless workโ€”but itโ€™s work worth doing. If youโ€™re driven by purpose and ready to bring your best to work that truly matters for patients, we invite you to join us.


Overview

Lilly Small Molecule Discovery is purpose-built to create molecules that make life better for people. Discovery Technology and Platforms (DTP) accelerates molecule discovery by building foundational platforms, streamlining lab operations through advanced technologies and data connectivity, and investing in novel capabilities.

Data Foundry is a multidisciplinary team within DTP that enables AI-native drug discovery through four integrated pillars: Architecture4Insight, Methods4Insight, Automation & Scale4Insight, and Preparedness4Insight. Together, these pillars provide the scientific foundation, data assets, analytical capabilities, and automation frameworks that empower both researchers and AI systems to accelerate molecular discovery.

Position Summary

We are seeking a Senior Director, Data Architecture to define and drive the scientific information architecture that powers AI-native drug discovery across Molecular Discovery.

As a senior leader within Architecture4Insight, you will establish the architectural vision, standards, and roadmap that transform scientific data into a strategic asset for discovery scientists, computational researchers, and autonomous AI agents.

You will provide technical leadership across the Data Architecture capability, shaping scientific data platforms, ontologies, metadata frameworks, knowledge graphs, and AI-ready data ecosystems. As a player-coach, you will lead a small team of architects while remaining deeply engaged in the most critical data architecture decisions across Molecular Discovery.

This role requires deep expertise in scientific data architecture, strong technical leadership, and the ability to influence strategy across organizational boundaries. Success will be measured by the quality, adoption, scalability, and scientific impact of the data architectures that enable Molecular Discovery.

ResponsibilitiesScientific Information Architecture
  • Define and drive the scientific information architecture strategy and implementation.
  • Establish standards and architectural principles for data modeling, metadata management, semantic interoperability, ontology governance, and FAIR data implementation.
  • Develop roadmaps for scientific data platforms, metadata capabilities, knowledge systems, and AI-ready data assets.
Technical Leadership & Influence
  • Serve as a senior technical leader and architecture authority across Data Foundry initiatives.
  • Mentor architects, engineers, and scientific informatics professionals.
  • Personally contribute to architecture design, technology evaluation, and solution development for high-priority initiatives.
People Leadership & Technical Coaching
  • Lead a team of Data Architects supporting scientific information architecture across Molecular Discovery.
  • Foster a culture of technical excellence, innovation, and scientific partnership.
  • Promote architectural consistency, knowledge sharing, and adoption of best practices across Architecture4Insight.
Architecture Stewardship
  • Develop and maintain reference architectures, design patterns, and architectural standards.
  • Measure and improve platform interoperability, metadata quality, discoverability, and architecture adoption across Molecular Discovery.
  • Help shape the long-term evolution of Data Foundry's scientific data ecosystem.
Data Modeling, Ontologies & Semantic Architecture
  • Enable unified discovery and exploration of scientific knowledge across previously disconnected systems and data sources including molecules, targets, pathways, assays, experiments, structural biology data, and AI-generated insights.
  • Drive adoption of semantic technologies including RDF, OWL, SPARQL, and modern knowledge representation frameworks.
  • Drive consistency in metadata harmonization, ontology integration, and semantic interoperability across scientific platforms.
Basic Requirements
  • M.S. or Ph.D. in Computer Science, Data Science, Bioinformatics, Computational Biology, Information Science, or related STEM field.
  • Ph.D. with 8+ years or M.S. with 12+ years of experience in scientific informatics, data architecture, platform architecture, data engineering, or related technical disciplines.
  • Deep expertise spanning data modeling, metadata management, ontology engineering, semantic technologies, knowledge graphs, scientific data platforms, and AI-ready data ecosystems.
Preferred Qualifications
  • Demonstrated experience defining architecture strategy for large-scale scientific data platforms and research informatics ecosystems.
  • Experience leading small teams of highly skilled architects, engineers, or scientific informatics professionals while remaining an active technical contributor.
  • Strong communication skills with the ability to translate technical architecture decisions into scientific and business outcomes.
  • Strong understanding of discovery science workflows, including chemistry, biology, screening, automation, imaging, structural biology, genomics, proteomics, and computational sciences.
  • Expertise with Databricks, Snowflake, Spark, Delta Lake, Neo4j, Amazon Neptune, vector databases, and cloud-native data platforms.
  • Experience with semantic web technologies, ontology engineering, FAIR implementation, and scientific knowledge graphs.
  • Experience enabling machine learning, generative AI, retrieval architectures, and agentic systems through modern data architectures.
  • Familiarity with laboratory informatics platforms including LIMS, ELN, Benchling, laboratory automation systems, and scientific workflow platforms.

Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (https://careers.lilly.com/us/en/workplace-accommodation) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response.


Lilly is proud to be an EEO Employer and does not discriminate on the basis of age, race, color, religion, gender identity, sex, gender expression, sexual orientation, genetic information, ancestry, national origin, protected veteran status, disability, or any other legally protected status.


Our employee resource groups (ERGs) offer strong support networks for their members and are open to all employees. Our current groups include: Africa, Middle East, Central Asia (AMECA), Black Employees at Lilly (BE@Lilly), Chinese Culture Network (CCN), EnAble, Evolve, Lilly Indian Network (LIN), Organization of Latinx at Lilly (OLA), Pride (LGBTQ+ Allies), Veterans Leadership Network (VLN) and Women's Initiative for Leading at Lilly (WILL).


Actual compensation will depend on a candidateโ€™s education, experience, skills, and geographic location. The anticipated wage for this position is

$193,500 - $338,800

Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance). In addition, Lilly offers a comprehensive benefit program to eligible employees, including eligibility to participate in a company-sponsored 401(k); pension; vacation benefits; eligibility for medical, dental, vision and prescription drug benefits; flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts); life insurance and death benefits; certain time off and leave of absence benefits; and well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities). Lilly reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion and Lillyโ€™s compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees.

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