Data Analyst - Edge Capabilities

Job Requirements About the Role

The Data Analyst plays a critical role in identifying business needs, designing analytical tools, developing test strategies, and supporting senior team members in delivering data-driven business outcomes. This role requires a strong understanding of data structures, analytical frameworks, and computational methods to generate actionable insights and support strategic decision-making.

Key Responsibilities

Primary Responsibilities Identify and scope business requirements and priorities through structured information gathering and analysis.

Design and apply analytics techniques to address current and future business needs.

Demonstrate a robust understanding of data structures and fields required for effective analysis.

Map analytical frameworks to available data sources to ensure alignment with business objectives.

Collect, clean, and organize data from multiple sources to ensure accuracy and reliability.

Conduct statistical analysis and create visualizations to present findings in a clear, actionable manner

Support ongoing monitoring of business performance through regular reporting and ad-hoc analysis.

Develop test strategies and systematic procedures to validate solution performance and accuracy.

Select and apply algorithms and advanced computational methods to enable systems to learn, adapt, and deliver desired outcomes.

Approach problems with creativity and develop innovative, data-driven solutions.

Challenge existing processes to drive continuous improvement and operational efficiency.

Maintain a strong focus on goal achievement and follow through on initiatives.

Understand the broader business context and how data-driven decisions impact overall outcomes.

Secondary Responsibilities

Support Senior Analysts and Lead Analysts in delivering business outcomes.

Approach existing problems with innovative thinking and create effective solutions.

Challenge the status quo to drive continuous improvement and positive change.

Demonstrate persistence and commitment to achieving goals and completing tasks.

Understand complex interrelationships among business activities and recognize the broader impact of decisions.

Maintain awareness of how individual contributions align with the larger vision of the organization.

What We Are Looking For

Education

Graduation: B.Sc (Bachelor of Science) or B.Tech (Bachelor of Technology) or BCA (Bachelor of Computer Applications)

Post-Graduation: M.Sc (Master of Science), M.Tech (Master of Technology) or MCA (Master of Computer Applications) or MA

Experience Relevant 2+ years of Prior experience in data analysis, preferably within a business or financial services environment.

Exposure to designing analytical frameworks and test strategies.

Skills and Attributes

Strong analytical and problem-solving skills.

Proficiency in data tools and technologies (e.g., SQL, Python, R, Excel, Power BI, Tableau).

Ability to interpret and map data to analytical frameworks.

Excellent communication and collaboration skills.

Innovative mindset with a focus on continuous improvement.

Business acumen and understanding of how data impacts organizational outcomes.