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Title
Text copied to clipboard!Data Analyst Manager
Description
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We are looking for a Data Analyst Manager to lead a team of analysts in transforming raw data into meaningful business insights that support strategic and operational decision-making. This role combines people leadership, analytical expertise, and cross-functional collaboration to ensure that data is used effectively across the organization. The ideal candidate is both a strong analytical thinker and an experienced manager who can guide teams, prioritize projects, and communicate findings clearly to technical and non-technical stakeholders.
As a Data Analyst Manager, you will oversee the design, execution, and delivery of data analysis initiatives that help improve performance, identify trends, measure outcomes, and uncover opportunities for growth. You will work closely with business leaders, product teams, operations, finance, and technology partners to understand key objectives and translate them into analytical frameworks, dashboards, reports, and recommendations. You will also help establish best practices for data governance, reporting consistency, quality assurance, and documentation.
A successful candidate will have a deep understanding of data analysis methodologies, business intelligence tools, and performance measurement. You should be comfortable working with large datasets, defining key performance indicators, and mentoring analysts at different levels of experience. In addition to technical capability, this role requires strong project management and communication skills, as you will be expected to balance multiple priorities while ensuring timely and accurate delivery of insights.
This position is ideal for someone who enjoys solving complex business problems with data, building high-performing teams, and influencing decision-making through evidence-based recommendations. You will play a key role in shaping the organization’s data culture by promoting analytical rigor, curiosity, and continuous improvement. The role may also involve partnering with data engineering and data science teams to improve data accessibility, automate reporting processes, and support advanced analytics initiatives.
If you are passionate about leadership, analytics, and business impact, this opportunity offers the chance to make a measurable contribution while developing both people and processes. You will be empowered to create scalable reporting solutions, improve analytical capabilities across departments, and ensure that stakeholders have the information they need to make informed decisions. Join us to help turn data into action and strategy into results.
Responsibilities
Text copied to clipboard!- Lead and mentor a team of data analysts to deliver high-quality insights
- Define analytical priorities aligned with business goals and stakeholder needs
- Develop dashboards, reports, and KPI frameworks for performance tracking
- Ensure data accuracy, consistency, and integrity across reporting processes
- Collaborate with cross-functional teams to identify analytical opportunities
- Present findings and recommendations to senior leadership and business partners
- Standardize reporting methodologies and documentation practices
- Support forecasting, trend analysis, and business performance reviews
Requirements
Text copied to clipboard!- Bachelor’s degree in data analytics, statistics, business, computer science, or a related field
- Several years of experience in data analysis, business intelligence, or reporting
- Previous experience managing or leading analytical teams
- Strong proficiency in SQL and data visualization tools such as Tableau or Power BI
- Ability to interpret complex datasets and translate them into actionable insights
- Excellent communication and stakeholder management skills
- Experience defining KPIs and building scalable reporting solutions
- Strong organizational skills with the ability to manage multiple projects
Potential interview questions
Text copied to clipboard!- How many years of experience do you have in data analysis or business intelligence?
- Have you previously managed or mentored a team of analysts?
- Which data visualization tools are you most comfortable using?
- How do you ensure data quality and reporting accuracy?
- Can you describe a time when your analysis influenced a major business decision?
- What is your experience with SQL and large-scale datasets?
