Weekday AI
DataAnalyticsManager
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“Data Analytics Manager at Weekday AI. Skills: Data Analytics, Business Analytics, SQL, Power BI, Tableau, Looker, statistical analysis, forecasting, data modeling. Lead and manage end-to-end data analytics projects, from requirement gathering and data collection to analysis, visualization, and reporting. Translate business problems into analytical frameworks and actionable insights that support strategic decision-making”
What You'll Achieve.
drive data-driven decision-making initiatives; transform complex datasets into meaningful insights that drive operational efficiency, strategic growth, and business performance; deliver actionable recommendations; support strategic decision-making; monitor business performance and identify growth opportunities; uncover trends, patterns, and business opportunities; drive data-informed decisions; support forecasting, customer insights, and operational improvements; improve data accessibility, governance, and reporting automation
Industry & Context.
Excellent problem-solving, analytical thinking, and decision-making abilities; Translate business problems into analytical frameworks
What They're Looking For.
Must Have
Bachelor’s or Master’s degree in Data Analytics, Statistics, Mathematics, Computer Science, Business Analytics, Economics, or a related field, 5 – 7 years of experience in Data Analytics, Business Analytics, Business Intelligence, or related domains, SQL proficiency, Excel proficiency, data warehousing concepts
Nice to Have
Knowledge of Python or R for data analysis and automation, Experience in managing analytics projects, Experience collaborating with senior business stakeholders
What You'll Do.
Lead and manage end-to-end data analytics projects
from requirement gathering and data collection to analysis
Translate business problems into analytical frameworks and actionable insights that support strategic decision-making
and reports to monitor business performance and identify growth opportunities
Analyze large and complex datasets to uncover trends
and business opportunities
Build predictive and descriptive analytics models to support forecasting
and operational improvements
and consistency across reporting systems and business intelligence platforms
Present analytical findings and recommendations to senior management and stakeholders in a clear and impactful manner
Drive process improvement initiatives through data-driven recommendations and performance analysis
Mentor and guide junior analysts
fostering a culture of continuous learning and analytical excellence
Collaborate with technology and data engineering teams to improve data accessibility
and reporting automation
Stay updated with industry trends
emerging analytics tools
and best practices in business intelligence and data analytics
How You'll Work.
Team & Collaboration
Partner with business leaders, product teams, operations, finance, and marketing teams to drive data-informed decisions; Collaborate with technology and data engineering teams to improve data accessibility, governance, and reporting automation; stakeholder management; cross-functional collaboration skills
Communication Scope
communicate insights effectively to non-technical stakeholders; Present analytical findings and recommendations to senior management and stakeholders in a clear and impactful manner
Process & Methodology
manage multiple analytics projects, manage multiple priorities in a fast-paced environment
Full Job Description
**This role is for one of the Weekday's clients** Min Experience: 5 years Location: Bengaluru JobType: full-time We are seeking a highly analytical and business-focused Data Analytics Manager to lead data-driven decision-making initiatives across the organization. The ideal candidate will possess strong expertise in Data Analytics and Business Analytics, with the ability to transform complex datasets into meaningful insights that drive operational efficiency, strategic growth, and business performance. This role requires a professional who can work closely with cross-functional teams, understand business challenges, and deliver actionable recommendations through data visualization, reporting, forecasting, and advanced analytics techniques. The candidate should be comfortable managing multiple analytics projects, mentoring analysts, and collaborating with stakeholders to establish data-backed business strategies. **Requirements** ### Key Responsibilities * Lead and manage end-to-end data analytics projects, from requirement gathering and data collection to analysis, visualization, and reporting. * Translate business problems into analytical frameworks and actionable insights that support strategic decision-making. * Develop dashboards, KPIs, scorecards, and reports to monitor business performance and identify growth opportunities. * Analyze large and complex datasets to uncover trends, patterns, and business opportunities. * Partner with business leaders, product teams, operations, finance, and marketing teams to drive data-informed decisions. * Build predictive and descriptive analytics models to support forecasting, customer insights, and operational improvements. * Ensure data accuracy, integrity, and consistency across reporting systems and business intelligence platforms. * Present analytical findings and recommendations to senior management and stakeholders in a clear and impactful manner. * Drive process improvement initiatives through data-driven recommendati
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