Senior Data Analyst
4 weeks ago
Job Level - Senior Data Analyst
About Us:
The role
In this role, you will contribute towards analytics methodology development by understanding business case, problem statement and data sources. Extract and mine data for business insights Learn & implement latest data analytics tools and process to improve reporting processesKey responsibilities
Data Analysis for Finance KPIs such as Monthly Revenue and Volume:
Analyze data from various sources such as invoice data from database, salesforce and arrow systems to report revenue/volumes by customer segments Observer the trend and comment such as seasonal variations / systematic declines in revenues Tools required: PowerBI / Excel / SQLBusiness Opportunity Identification and Optimization:
Assist in identifying business unit opportunities and challenges by continually reviewing and analyzing financial and operational data. Model trends, identify relationships, and spot opportunities. Test hypotheses and alternatives to find optimal solutions. Collaborate with other leaders to identify new business models and workflows. Assist in building business cases for necessary investments and strategic plans to achieve planned results.Report and Dashboard Improvement:
Simplify, standardize, and automate existing reports and dashboards. Build new / improve existing data pipelines working as backend of dashboards using Python / SQL Enhance visualization and drill-down capabilities to provide better insights for Root Cause Analysis.Data Mining and Analytics Skills:
Proficient in data mining and data analytics to derive insights from various datasets.Stakeholder Management
Foster positive and professional relationships with all stakeholders in the workplace for effective collaboration and communicationContinuous learning:
Learn latest tools and technologies available for data analytics Suggest more efficient ways of processing reportsKey skills and experience required
Experience: At least 5 years of experience in the field of Data Analytics Required: Bachelor’s degree in data science/analytics, finance, accounting, or economics or Engineering in Computer Science, or related quantitative field Required – Skills of using visualization tools (like Tableau, Power BI etc) Strong SQL programming skills to be able to fetch data, aggregate and compile required analysis Strong analytical skills; capable of multi-tasking in fast-paced, dynamic environment Ability to communicate effectively to multiple constituencies in multiple platforms including email. Knowledge of Data engineering will be a plus point.Travel requirements:
Physical Demands
Office work only (Pune-Kalyani Nagar)
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