Data Analytics Manager

As an experienced and strategic Data Analytics Manager, lead the development and execution of data analytics strategies that support business decision-making and drive organizational growth.

In this role, you will oversee the design and execution of data strategies, manage analytics projects, and collaborate with cross-functional teams to identify business needs, translate them into analytical solutions, ensuring timely, accurate, and high-quality insights.

The ideal candidate will be accountable and responsible for managing data projects, guiding analysts, and delivering data-driven recommendations to support business decision-making process.

Main responsibilities:

• Collaborate with stakeholders to gather requirements, translate the business needs into technical specifications and understand data visualization needs.Lead and mentor a team of analysts or BI developers.
• Drive SLAs, demand review, and project estimation, ensuring commitments are realistic and achievable.Manage multiple projects, ensuring timely deliverables and coordinate with stakeholders for timely updates on ongoing initiatives.
• Assign responsibilities effectively based on team members' strengths and capacity.Establish best practices and standards for data visualization development.Address bottlenecks, identify the workload priorities, manage the tasks/resources and ensure timely delivery.
• Consider team feedback, ideas, concerns, address interpersonal and work-related issues to perform at their best.Ensure quality assurance & data governance throughout the project delivery process.Oversee development activities, code reviews/approvals, UAT validations and production readiness.Motivate and inspire team members, provide structured feedback and recognize team efforts and achievements.
• Work independently and collaboratively within cross-functional teams.Able to Design and develop complex data models, interactive dashboards, report visualizationswith advanced features ensuring fast loading times, responsiveness, even with large volume of datasets using organizational BI tools.
• Identify bottlenecks and address data constraints to optimize reports, dashboard performance.Maintain compliance with internal policies, applicable regulatory and security frameworks.Maintain project documentation and perform audit checks to ensure teams development details are documented.Take accountability for the results and performance of the team.
• Coordinate the transition of ownership for maintenance and monitoring post-release.Identify and suggest constructive solutions to address any gaps in the process, fostering a culture of continuous improvement.

About you:

• Candidate must possess masters or bachelors degree in quantitative subjects (computer science, mathematics, engineering, statistics or science).Advanced proficiency in data visualization - Power BI Desktop and Services.
• Strong command of DAX (Data Analysis Expressions) for creating measures and calculated columns, groups, field parameters.
• Skilled in Power Query (M language) for data transformation and ETL workflows.Experience publishing, scheduling, managing Power BI reports and datasets and sharing dashboards with large audience group in the Power BI Service.
• Strong proficiency in SQL (Snowflake is preferrable), developing complex queries, CTEs, window functionsand query optimization.Strong knowledge in data modelling, data warehouse, data lake and relational database concepts.
• Excellent communication skills and the ability to translate business requirements into technical solutions are essential.Good to have Power APP, Power Automate, programmatic languages (Python/R) and Data Science skillsets.
• Knowledge in GitHub deployment process for Power BI models, reports and maintaining version control.Proven track record of delivering analytical projects on time and within scope.Experience in stakeholder management and high level of Interpersonal/ communication skills with an ability to communicate and present at different levels of the organization.
• Knowledge of applicable project methodologies (Agile / Scrum/Kanban/JIRA) preferable.Strong ability to review, recommend and implement technologies and tools.