Business Reporting Analyst

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Business Reporting Analyst on a 7-month hybrid assignment in San Rafael, CA, offering $65-68/hr. Requires 5-7+ years in business analytics, preferably in healthcare or biotech, with skills in Power BI, SQL, and data visualization.
🌎 - Country
United States
💱 - Currency
$ USD
💰 - Day rate
Unknown
Unknown
544
🗓️ - Date discovered
April 24, 2025
🕒 - Project duration
More than 6 months
🏝️ - Location type
Hybrid
📄 - Contract type
Unknown
🔒 - Security clearance
Unknown
📍 - Location detailed
San Rafael, CA
🧠 - Skills detailed
#Computer Science #Data Access #SQL Server #Data Analysis #Data Governance #Data Science #Python #Strategy #R #Data Warehouse #Visualization #Tableau #Documentation #Microsoft Power BI #BI (Business Intelligence) #Data Integrity #Statistics #SQL (Structured Query Language)
Role description

Performance Reporting & Analytics Analyst

Location: San Rafael, CA (Hybrid)

7-month assignment (potential to extend / convert)

Pay: $65-68/ HR

Our client, a world leader bio-tech company who focuses on delivering therapeutics that provide meaningful advances to patients who live with serious and life-threatening rare genetic diseases, is looking for Performance Reporting & Analytics Analyst to join their team.

You will lead the design, development, and maintenance of compelling data visualizations, and provide advanced analytics to support Sales & Marketing functions. The successful candidate will drive data-informed decision-making by tracking sales performance, evaluating trends, and conducting market analyses.

You will serve as a strategic partner across business units, translating complex business questions into insightful, technically sound analytics and dashboards, ensuring consistency and alignment to our single source of truth. This position involves cross-functional collaboration with internal stakeholders and external partners to ensure reporting solutions meet business goals and data governance standards.

Key Responsibilities:

   • Lead reporting and analytics initiatives aligned with organizational strategy and roadmap.

   • Develop and deploy tools to improve market understanding and support business goals (e.g., dashboards, brand analytics, SFE reporting).

   • Map initiatives to objectives, data sources, and KPIs to ensure consistent, aligned visuals and reporting practices.

   • Own the development, enhancement, and maintenance of reporting suites, including data validation, data integrity checks, and gap analyses.

   • Collaborate with IT and data governance teams to align on data structure and usage for strategic and operational analytics.

   • Provide business requirements for reporting systems and partner with developers to ensure appropriate data accessibility.

   • Guide and review offshore reporting resources, ensuring quality and adherence to standards.

   • Ensure accuracy and consistency of data sets and troubleshoot issues in partnership with CFIT, FP&A, Field Operations, and external vendors.

   • Produce documentation such as data dictionaries, training materials, and standard operating procedures to enhance data literacy and reporting usability.

   • Design and construct dashboards for brand analytics, market share, and other commercial metrics.

   • Collaborate with internal teams (Commercial IT, Digital, Marketing) and vendors on data infrastructure, platform enhancements, and process improvements.

Qualifications:

   • Bachelor’s degree in Business Analytics, Data Science, Statistics, Computer Science, or related field (Master’s preferred).

   • 5–7+ years of experience in business analytics; at least 3 years in healthcare, biotech, or pharmaceutical analytics strongly preferred.

   • Proficiency with data analysis and visualization tools such as Power BI and Tableau.

   • Strong SQL and experience with tabular models and SQL Server.

   • Familiarity with data science tools such as R or Python is a plus.

   • Experience integrating data across core Sales & Marketing platforms.

   • Deep understanding of data warehouse and BI environments.

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