Data Unveil - Senior Data Analyst - Data Management

Description

About us :

Data Unveil is the next generation provider of best-in-class data aggregation services.

Our solutions and methodologies have been honed over the past 10 years by experienced practitioners who have collectively supported 100+ brands, 100+ data partners and 25+ new drug launches.

Our integrated capabilities create a differentiated value proposition for our clients.

We have the business knowledge to help define your solution, the technical expertise to bring it to life, and the operational experience to maintain it effectively, efficiently and compliantly

We are looking for a talented Senior Data Analyst to join our team immediately.

As a Data Analyst, you will play a crucial role in interpreting data, analyzing trends, and providing valuable insights to drive decision-making processes.

If you are a detail-oriented individual with strong analytical skills and a passion for data, we want to hear from you!

Responsibilities

• Analyze large datasets to uncover trends, patterns, and correlations.
• Create and maintain reports, dashboards, and visualizations to communicate key insights.
• Collaborate with cross-functional teams to understand business needs and develop analytical solutions.
• Conduct ad-hoc analysis to address specific business challenges.
• Identify opportunities for process enhancement through data analysis.
• Stay informed on industry trends and best practices in data analytics and visualization.
• Present findings and recommendations to diverse audiences through reports and presentations.
• Lead analytical initiatives and mentor junior analysts in data modeling, visualization, and analysis best practices.
• Partner with leadership teams to define KPIs, measurement frameworks, and reporting standards across departments.
• Drive data quality and governance initiatives to ensure data accuracy, consistency, and reliability across systems.
• Collaborate with data engineering teams to enhance data infrastructure and optimize data pipelines for analytical efficiency.
• Advise business leaders on leveraging analytics for strategic planning, forecasting, and performance optimization.
• Champion a data-driven culture by promoting analytical thinking and evidence-based decision-making across the organization.

Requirements

(ref : hirist.tech)

Skills Required

statistical analysis tools , Sql