Data & Analytics Solution Lead

Fipsar Inc; Hillsborough Township (NJ); On-site; USD 110,000 - 140,000; Full time

Job summary

Fipsar Inc. is seeking a Data & Analytics Solution Lead to drive design and delivery of Data Engineering, Analytics, and BI solutions for clients in a hands-on IC role.

You will work with client stakeholders, data architects, and offshore teams to translate requirements into practical data solutions and to deliver quantifiable business insights.

Qualifications

• 3–6 years of experience in Data & Analytics, Data Engineering, BI, or Analytics consulting.
• Strong communication, presentation, and stakeholder-management skills.
• Experience translating requirements from business/IT stakeholders.
• Strong working knowledge of SQL and data analysis.
• Foundations in relational databases, data warehousing, and BI concepts.
• Understanding of ETL/ELT, data integration, data pipelines, APIs, and source-to-target data flows.

Responsibilities

• Build relationships with client and internal stakeholders.
• Lead requirements discussions on processes, KPIs, reporting needs, and data needs.
• Translate business needs into requirements, rules, data requirements, user stories, and acceptance criteria.
• Collaborate with Data/Bi Architects and SMEs to design end-to-end solutions.
• Coordinate with offshore data teams during design, development, testing, UAT, and production.
• Use SQL to analyze source data, validate rules, and verify solutions.
• Participate in data modeling, source-to-target mapping, and BI/reporting design.
• Review data and dashboards to ensure outcomes meet requirements.
• Proactively communicate delivery status, risks, and recommendations.
• Take ownership to drive deliverables to completion.
• Develop knowledge to take on broader data architecture responsibilities.

Skills

SQL expertise

Data analysis

Stakeholder management

Requirements translation

ETL/ELT concepts

Data modeling

Tools

Snowflake

Qlik Sense

Power BI

Tableau

Talend

Job description

Data & Analytics Solution Lead

About the Role

We are looking for a motivated, hands-on Data & Analytics Solution Lead with approximately 3–6 years of relevant experience who is ready to take on greater client-facing and solution-delivery responsibility.

This is a hands-on individual-contributor role, not a people-management position. You will work closely with client business and IT stakeholders, our Data/BI architects and technical leads, and offshore development teams to understand business needs and drive the design and delivery of Data Engineering, Analytics, and BI solutions.

This role is well-suited for someone with strong communication, stakeholder-management, analytical, and data fundamentals who wants to develop deeper expertise in modern data technologies, enterprise business processes, solution design, and eventually Data Architecture.

Key Responsibilities

• Build strong working relationships with client business and IT stakeholders, internal architects, technical leads, and delivery teams.
• Lead requirements discussions to understand business processes, challenges, KPIs, reporting needs, and data requirements.
• Ask the right business and data questions and translate high-level needs into clear requirements, business rules, data requirements, user stories, and acceptance criteria.
• Work with Data Architects, BI Architects, technical leads, and SMEs to translate requirements into practical end-to-end solutions.
• Collaborate closely with offshore Data Engineering and BI teams during solution design, development, testing, UAT, and Production deployment.
• Use SQL and data analysis to understand source data, validate requirements and business rules, investigate issues, and verify delivered solutions.
• Participate in data modeling, source-to-target mapping, ETL/data integration design, and BI/reporting solution design.
• Review data, KPIs, dashboards, and analytics applications to ensure delivered solutions meet business requirements and expected outcomes.
• Proactively communicate delivery status, risks, dependencies, issues, and recommendations to client and internal stakeholders.
• Take ownership of assigned initiatives and drive requirements and deliverables through successful completion.
• Continuously develop technical and business knowledge to take on broader Data Solution and Data Architecture responsibilities over time.

Required Qualifications

• 3–6 years of relevant experience in Data & Analytics, Data Engineering, BI, Technical Business Analysis, Analytics Consulting, or related areas.
• Strong communication, presentation, relationship-building, and stakeholder-management skills.
• Experience working directly with business and/or IT stakeholders to understand and translate requirements.
• Strong working knowledge of SQL and data analysis.
• Good foundation in relational databases, data modeling, data warehousing, dimensional modeling, and BI/reporting concepts.
• Understanding of ETL/ELT, data integration, data pipelines, APIs, and source-to-target data flows.
• Strong analytical and problem-solving skills with an ability to understand both business and technical perspectives.
• Ability to work effectively with architects, technical leads, and distributed/onshore-offshore development teams.
• Demonstrated initiative, accountability, curiosity, learning ability, and ownership mindset.

Preferred Skills & Experience

Experience with one or more of the following is beneficial but not required:

• Snowflake or other modern cloud data platforms
• Qlik Sense, Power BI, Tableau, or similar BI platforms
• Talend or other ETL/data integration technologies
• ServiceNow, Oracle Fusion, Agiloft, Salesforce, Veeva, or other enterprise applications
• Cloud-based Data & Analytics solutions
• Life Sciences/Pharmaceutical industry experience
• Procurement, Source-to-Pay (S2P), Procure-to-Pay (P2P), Finance, Commercial, Medical, or other enterprise business processes

Learning & Growth Opportunity

The successful candidate will have the opportunity to develop deeper expertise in Snowflake, Qlik Sense, Talend, Data Engineering, BI/Analytics, and modern data solution architecture while working alongside experienced architects and technical leads.

The role will also provide exposure to enterprise business processes across Pharmaceutical/Life Sciences, Procurement, S2P/P2P, Finance, Commercial, Medical, and other functional areas.