Data Analyst at Hiredas - Bangalore, Karnataka Data Analyst - Hiredas

Data Analyst

Hiredas

Location: Bangalore, Karnataka, India

Category: Data Analysis

Salary: 700,000 - 1,000,000 INR / yearly

Full-time

Job Description

We are looking for an experienced Data Analyst to join our team. The ideal candidate will have expertise in LS Salesforce Managed Market Brand Analytics Sales and Marketing, as well as strong skills in statistics and data science tools.

Responsibilities

  • Analyze and interpret complex data sets to provide actionable insights for the business.
  • Develop and maintain dashboards and reports to track key performance indicators (KPIs) and other metrics.
  • Utilize LS Salesforce and Managed Market data to support brand analytics and sales strategies.
  • Conduct exploratory data analysis (EDA) to identify trends, patterns, and anomalies in the data.
  • Implement and manage incentive compensation programs to drive sales performance.
  • Collaborate with cross-functional teams to support Pharma Research & Development initiatives.
  • Leverage Dataiku and other data science tools to build and deploy machine learning models.
  • Perform ROI calculations to assess the effectiveness of marketing campaigns and other initiatives.
  • Use Alteryx for data preparation, blending, and advanced analytics.
  • Apply statistical techniques and R programming to analyze data and generate insights.
  • Utilize MS Excel for data manipulation, analysis, and visualization.
  • Write and optimize SQL scripts to extract and manipulate data from various databases.
  • Create compelling presentations using MS PowerPoint to communicate findings and recommendations to stakeholders.
  • Ensure data quality and integrity by performing regular data audits and validation checks.
  • Stay updated with industry trends and best practices in data analytics and machine learning.
  • Provide training and support to junior analysts and other team members as needed.
  • Contribute to the continuous improvement of data analytics processes and methodologies.

Qualifications

  • Strong experience in LS Salesforce, Managed Market Brand Analytics, Sales and Marketing, and Statistics.
  • Proficiency in KPI-Assessment & Rationalization, EDA, and Incentive Compensation Management.
  • Experience in Pharma Research & Development and using Dataiku for data science projects.
  • Expertise in Machine Learning, ROI Calculation, and Alteryx.
  • Skills in RetailDemand Forecasting, R Statistical Package, MS Excel, Python, SQL Scripting, and MS PowerPoint.

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