Lead Data Analytics
Lead Data Analytics
Posted on :
10-04-2025
Employer Active
1 Vacancy
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Job Description
Role & Responsibilities
About the Role:
- Data Analytics Engineer is an Individual Contributor role who provides actionable insights to multiple stakeholders both internal and external & will be part of the centralized data team in Freight Tiger and owns both the compute & publish layer for all the products of FT.
Key Responsibilities
Data Analysis and Insights:
- Analyze complex datasets to extract meaningful insights and identify trends patterns and opportunities.
- Collaborate with business stakeholders to define and refine data requirements.
- Provide actionable recommendations to support decisionmaking processes.
Reporting & Visualization:
- Design develop and maintain interactive and insightful dashboards and reports in Power BI.
- Leverage Power BI features like DAX Power Query and advanced charting to create visually compelling and userfriendly reports.
- Ensure reports and dashboards are optimized for performance and scalability.
- Manage reporting layer (PowerBI) dashboards deployment and version control.
Stakeholder Collaboration:
- Partner with crossfunctional teams to gather and document reporting requirements.
- Communicate findings and insights effectively to both technical and nontechnical audiences.
- Act as a liaison between business users and technical teams to ensure alignment.
Data Governance and Quality:
- Maintain data accuracy consistency and integrity in all reporting solutions.
- Advocate for best practices in data visualization analytics and governance.
- Ensure compliance with organizational and regulatory data policies.
Leadership and Mentoring:
- Lead and mentor junior analysts to develop their skills in data analytics and visualization.
- Promote a culture of datadriven decisionmaking across the organization.
Tool and Technology Expertise:
- Stay updated with the latest advancements in Power BI and other analytics tools.
- Evaluate and implement new BI tools and methodologies to enhance reporting capabilities.
Ideal Candidate
MUST HAVE SKILLS
Technical Expertise:
- 5 8 years of experience in data analytics and business intelligence.
- Proficiency in Power BI Copilot Summarize and custom visuals.
- Strong SQL skills for data extraction and manipulation.
- Experience with data modeling and ETL processes.
Analytical Skills:
- Ability to interpret data and translate it into actionable insights.
- Expertise in analyzing business problems and developing datadriven solutions.
Communication Skills:
- Excellent verbal and written communication skills.
- Ability to present complex data in a clear and concise manner.
Preferred qualifications:
- Experience with other BI tools like Metabase Quicksight Apache Superset and Tableau.
- Knowledge of data warehousing concepts and tools (e.g. Snowflake Azure Data Factory).
- Exposure to Python or R for advanced analytics.
- Experience working any of the public cloud platforms like Azure AWS GCP
- Familiarity with data governance frameworks and tools.
- Industry experience in domains like logistics supply chain finance healthcare or ecommerce.
- Good to have experience working with or understanding of machine learning models and GenAI.
business intelligence,dax,python,analytical skills,data visualization,power bi,etl,data modeling,r,cloud platforms,data governance,data warehousing,sql,analytics,power query,etl processes,communication skills,data analytics,communication,visualization
Employment Type
Full Time
Key Skills
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