We are seeking a highly skilled and detail-oriented Business Analyst Data Analyst (BA/DA) to join our team. In this hybrid role, you will combine the analytical expertise of a Data Analyst with the strategic and process-oriented skills of a Business Analyst. You will be responsible for gathering business requirements, analyzing data, identifying trends, and providing actionable insights to support business decisions and drive process improvements. The ideal candidate will have strong analytical abilities, business acumen, and a proven track record in leveraging data to inform business strategy.
Key Responsibilities:
- Data Analysis & Reporting:
- Collect, clean, and analyze large sets of structured and unstructured data to identify trends, patterns, and actionable insights.
- Design and implement data models, dashboards, and reports to support decision-making.
- Interpret complex data findings and present them in a clear and concise manner for both technical and non-technical stakeholders.
- Develop automated reports and performance metrics to monitor business operations and KPIs.
- Business Analysis:
- Gather and document business requirements from stakeholders across departments, understanding business needs and objectives.
- Analyze business processes, workflows, and systems to identify opportunities for improvement and optimization.
- Work closely with cross-functional teams to translate business requirements into data-driven solutions.
- Create business cases, process flow diagrams, and other documentation to communicate findings and proposed solutions.
- Collaboration & Stakeholder Management:
- Serve as the primary point of contact for business stakeholders, translating their needs into actionable data strategies.
- Collaborate with IT teams, data engineers, and other stakeholders to ensure data quality, consistency, and accuracy.
- Facilitate regular meetings with business stakeholders to review findings, gather feedback, and adjust strategies as needed.
- Continuous Improvement:
- Recommend process improvements based on data analysis and business needs.
- Identify trends and areas where business strategies can be optimized using data-driven insights.
- Support the adoption of new data tools and technologies to enhance analysis capabilities.
Similar Jobs
Financial Services
The Client Data Analyst will review and manage client KYC records to ensure compliance with regulatory requirements, address discrepancies, and support the production team. Responsibilities include analyzing client data, escalating AML red flags, maintaining document confidentiality, and delivering high customer service. This role requires strong analytical and research skills, as well as the ability to work in a fast-paced environment.
Fintech
This role involves reporting and analytics within the AWM PFI team. Responsibilities include processing and quality-checking reports, maintaining templates and databases, implementing automation capabilities, and coordinating across teams for data gathering and analysis.
Top Skills:
Power AutomatePower BISQL
Biotech • Pharmaceutical
The Senior Analyst role involves providing analytics support to internal customers at Novartis by delivering various analytical reports and facilitating data-driven decision-making. Responsibilities include project delivery management, engagement in knowledge sharing initiatives, and conducting predictive analytics to resolve business challenges.
Top Skills:
SQL
What you need to know about the Pune Tech Scene
Once a far-out concept, AI is now a tangible force reshaping industries and economies worldwide. While its adoption will automate some roles, AI has created more jobs than it has displaced, with an expected 97 million new roles to be created in the coming years. This is especially true in cities like Pune, which is emerging as a hub for companies eager to leverage this technology to develop solutions that simplify and improve lives in sectors such as education, healthcare, finance, e-commerce and more.
