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Senior Manager Analytics

Senior Manager Analytics

Amplemohali, India
3 days ago
Job description

Looking for Manager / Senior Manager Analytics & MIS

Location - Bangalore (Jakkur) | 5 days Work from office.

Preferred - Candidate from Retail Background

Responsibilities

  • Lead and motivate a team of analysts and MIS professionals, set goals, and provide guidance.
  • Create and execute an analytics and MIS strategy to meet business goals.
  • Supervise the collection and analysis of data from multiple sources, including
  • internal systems, third-party tools, and market research, to identify trends, patterns, and opportunities.
  • Work with cross-functional teams to define KPIs and create dashboards and reports to track performance.
  • Provide actionable insights and recommendations to stakeholders based on data analysis, helping them make informed decisions and drive business growth.
  • Collaborate with IT teams to optimize data infrastructure, systems, and tools for efficient data collection, storage, and analysis.
  • Drive data governance initiatives by setting data quality standards, verifying data accuracy, and applying data security protocols.
  • Communicate complex analytical findings and insights to both technical and non-technical stakeholders through presentations, reports, and visualizations.
  • Foster a culture of data-driven decision making within the organization, promoting the use of analytics to drive continuous improvement and innovation.
  • Stay updated about industry trends and advancements in analytics tools to improve data analysis.

Skills and Competencies

  • Strong leadership and management capabilities, demonstrating the capacity to effectively motivate and inspire a team.
  • Experience with data analysis and visualization tools like SQL, Excel, Tableau, and Power BI. Proficient in automation programming languages such as Python, Ruby, and Java.
  • Excellent analytical and problem-solving skills, with a strong attention to detail.
  • In-depth knowledge of statistical analysis techniques and methodologies.
  • Proficiency in data modelling and data manipulation.
  • Strong business acumen and the ability to connect data insights to business objectives.
  • Excellent communication and presentation skills, with a proven ability to distil complex data into clear and actionable insights.
  • Capable of managing multiple priorities and meeting deadlines in a fast- paced and dynamic environment.
  • Experience working with large datasets and using statistical analysis techniques.
  • Qualifications

  • Bachelor's degree in Mathematics, Statistics, Economics, or Computer Science. Master's degree preferred.
  • At least 8 to 12 yrs years of experience in analytics or a related field, including 2 years in a leadership role.
  • Knowledge of programming languages such as Python or R is mandatory. Certification in analytics tools or methods is beneficial.
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