Sr. Data Analyst – Manager

Aceolution

Hyderabad

On-site

INR 1,500,000 - 2,300,000

Full time

14 days+

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Job summary

Aceolution is seeking a highly skilled Data Manager to lead our data analytics team and drive data-driven decision making. You will oversee data extraction, cleaning, and transformation, and develop impactful dashboards using Tableau, Power BI, Looker, or equivalent tools.

The role requires 7+ years in data analytics with strong SQL proficiency, data warehousing experience, and excellent communication to translate insights for both technical and non-technical audiences.

Qualifications

  • Bachelor’s or Master’s degree in Statistics, Mathematics, Computer Science, Economics, Business Analytics, or a related quantitative discipline.
  • 7+ years of progressive experience as a Data Analyst/Data Analytics professional, with significant experience in a senior or managerial role.
  • Strong proficiency in SQL for data extraction, manipulation, and analysis.
  • Proven experience with Tableau, Power BI, Looker, or similar data visualization tools.
  • Experience working with large datasets and data warehousing concepts.
  • Excellent analytical, problem-solving, and critical-thinking skills.
  • Strong communication and presentation skills, with the ability to explain complex technical concepts to non-technical audiences.
  • Proven ability to lead, guide, and mentor teams.
  • Strong client interaction and stakeholder management skills.

Responsibilities

  • Data Extraction & Preparation: Write, execute, and optimize complex SQL queries, stored procedures, and ETL scripts.
  • Extract, clean, transform, and validate data from databases, APIs, flat files, and other sources.
  • Identify and resolve data quality issues to ensure data accuracy and integrity.
  • Analyze large datasets and prepare data for reporting and business decision-making.
  • Design, develop, and maintain interactive dashboards and reports using Tableau, Power BI, Looker, or similar tools.
  • Present complex data and analytical findings in a clear, concise, and visually compelling manner.
  • Automate reporting processes wherever possible to improve efficiency and accuracy.
  • Business Acumen & Communication: Translate complex analytical findings into clear and actionable business recommendations.
  • Collaborate with business leaders and cross-functional teams to understand analytical requirements and define KPIs.
  • Prepare and deliver presentations to senior leadership and cross-functional stakeholders.
  • Interact directly with clients and effectively explain complex data insights, trends, and nuances.
  • Act as a subject matter expert on data and analytics for relevant business areas.
  • Lead, guide, and mentor Data Analysts and Team Leads.
  • Share best practices and support the professional development of team members.
  • Provide guidance on the design and implementation of data analysis and reporting solutions.
  • Contribute to the continuous improvement of data analytics processes, methodologies, and tools.
  • Stay updated with industry trends and advancements in data analytics and data science.

Skills

SQL
Tableau
Power BI
Looker
Mentoring
Data Analysis

Education

Statistics
Mathematics
Computer Science
Economics
Business Analytics

Tools

ETL Processes
Data Warehousing
APIs & Data Sources

Job description

We are seeking a highly skilled and experienced Data Manager to join our growing team. The ideal candidate will be a data-driven problem solver with a strong passion for uncovering insights that drive strategic business decisions.

This role involves working with large and complex datasets, developing compelling dashboards and visualizations, and communicating analytical insights effectively to both technical and non-technical audiences. The Manager will play a key role in leading, guiding, and mentoring the data analytics team while contributing to the continuous development of our analytics capabilities.

Key Responsibilities

Data Extraction & Preparation

  • Write, execute, and optimize complex SQL queries, stored procedures, and ETL scripts.
  • Extract, clean, transform, and validate data from databases, APIs, flat files, and other sources.
  • Identify and resolve data quality issues to ensure data accuracy and integrity.
  • Analyze large datasets and prepare data for reporting and business decision-making.
  • Design, develop, and maintain interactive dashboards and reports using Tableau, Power BI, Looker, or similar tools.
  • Present complex data and analytical findings in a clear, concise, and visually compelling manner.
  • Automate reporting processes wherever possible to improve efficiency and accuracy.
Business Acumen & Communication
  • Translate complex analytical findings into clear and actionable business recommendations.
  • Collaborate with business leaders and cross-functional teams to understand analytical requirements and define KPIs.
  • Prepare and deliver presentations to senior leadership and cross-functional stakeholders.
  • Interact directly with clients and effectively explain complex data insights, trends, and nuances.
  • Act as a subject matter expert on data and analytics for relevant business areas.
  • Lead, guide, and mentor Data Analysts and Team Leads.
  • Share best practices and support the professional development of team members.
  • Provide guidance on the design and implementation of data analysis and reporting solutions.
  • Contribute to the continuous improvement of data analytics processes, methodologies, and tools.
  • Stay updated with industry trends and advancements in data analytics and data science.
Qualifications
  • Bachelor’s or Master’s degree in Statistics, Mathematics, Computer Science, Economics, Business Analytics, or a related quantitative discipline.
  • 7+ years of progressive experience as a Data Analyst/Data Analytics professional, with significant experience in a senior or managerial role.
  • Strong proficiency in SQL for data extraction, manipulation, and analysis.
  • Proven experience with Tableau, Power BI, Looker, or similar data visualization tools.
  • Experience working with large datasets and data warehousing concepts.
  • Excellent analytical, problem-solving, and critical-thinking skills.
  • Strong communication and presentation skills, with the ability to explain complex technical concepts to non-technical audiences.
  • Proven ability to lead, guide, and mentor teams.
  • Strong client interaction and stakeholder management skills.
Preferred Qualifications
  • Prior experience working with Google and PLEX environments.
  • Experience with GCP/cloud platforms and big data technologies.
  • Knowledge of data governance and data security best practices.
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