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Manager - Data Analytics and Reporting
Job in
682001, Kochi H.O, Kerala, India
Listed on 2026-08-30
Listing for:
Fragomen
Full Time
position Listed on 2026-08-30
Job specializations:
-
IT/Tech
Business Intelligence, Data Analyst
Job Description & How to Apply Below
Function: Business Technology
Team Leadership: Approximately 20 analytics and reporting professionals
About the Role
We are seeking an experienced, hands-on data and business intelligence leader to manage and develop an established Analytics and Reporting Team.
The team currently delivers operational reporting, management dashboards, business reviews, and recurring performance information. The successful candidate will strengthen these capabilities while progressively developing the function into a broader data analytics and decision-support team.
This role requires a combination of people leadership, business analysis, reporting expertise, data literacy, stakeholder management, and hands-on delivery. The manager will be expected to understand business requirements in detail, improve the quality and usefulness of existing reporting, establish stronger data and reporting standards, and lead future data initiatives connected with the organization’s transformation agenda.
This is not a pure data-science, database-administration, or people-management role. The manager must be capable of working directly with data, reports, dashboards, business processes, and stakeholders.
Key Responsibilities
Team Leadership and Capability Development
Lead, stabilize, and develop a team of approximately 20 reporting and analytics professionals.
Establish clear responsibilities, service standards, quality expectations, and career pathways.
Review the team’s existing skills, workload, operating model, and development requirements.
Coach team members in business analysis, data interpretation, visualization, quality assurance, stakeholder communication, and commercial awareness.
Build a collaborative, accountable, and service-oriented team culture.
Develop succession plans and reduce dependency on individual team members.
Recruit and develop analytics, business intelligence, and data professionals as the function expands.
Reporting and Business Intelligence
Oversee recurring operational, management, client, and executive reporting.
Improve the accuracy, consistency, timeliness, usability, and visual quality of reports and dashboards.
Lead the preparation of quarterly business reviews, annual business reviews, performance packs, and management dashboards.
Rationalize duplicated or low-value reports and establish a controlled reporting catalogue.
Ensure reports provide interpretation, trends, exceptions, and recommended actions rather than simply presenting data.
Develop executive-ready reporting that converts operational data into clear business insights.
Business Analysis and Requirements Management
Conduct discovery sessions with business leaders, operational teams, finance, technology, and other stakeholders.
Translate business questions into defined data, reporting, dashboard, and analytical requirements.
Document business definitions, calculation logic, data fields, filters, reporting frequencies, user groups, and acceptance criteria.
Challenge unclear or conflicting requirements and establish a single agreed interpretation.
Ensure dashboards and reports are designed around business decisions and user needs.
Maintain traceability between business requirements, source data, calculations, and final outputs.
Data Analytics and Transformation
Develop the team’s capability beyond traditional reporting into diagnostic, predictive, and decision-support analytics.
Identify opportunities to use data to improve productivity, quality, capacity management, workforce planning, client service, and operational performance.
Lead enterprise data projects connected with the organization’s transformation strategy.
Work with business and technology teams to identify required data sources, integration needs, and analytical models.
Support the development of data products, self-service analytics, forecasting models, capacity models, and performance-management solutions.
Evaluate appropriate uses of AI and automation within reporting, data preparation, analysis, and insight generation.
Data Quality and Governance
Establish clear definitions, ownership, validation standards, reconciliation processes, and quality controls for critical data and metrics.
Develop and…
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