Customer Excellence Data Analysts

TESCRA; Bengaluru; On-site; INR 600,000 - 900,000; Full time

Job summary

TESCRA in Bengaluru, India, is seeking a data analyst to map and analyze processes, build data-driven insights, and support decision making across functions.

You will leverage Excel, SQL, and BI tools (Tableau/Power BI/Looker) plus Python or R for custom visualization and modeling. Strong communication and storytelling are essential to translate complex data into actionable recommendations.

Qualifications

• Experience in data analysis and visualization using BI tools.
• Proficiency with Excel advanced functions (Pivot, VLOOKUP, Macros).
• Strong SQL querying and data manipulation skills.
• Experience creating dashboards with Tableau/Power BI/Looker.
• Programming in Python or R for statistics and automation.
• Familiarity with relational and NoSQL databases.

Responsibilities

• Drive data analysis and process mapping to generate insights.
• Create dashboards and visualizations to communicate findings.
• Query and manage data using SQL across sources.
• Develop visualizations with Python/R for advanced analyses.
• Collaborate with IT, marketing, and finance to gather data and share insights.
• Prepare reports and present findings to stakeholders.

Skills

Advanced Excel

SQL

Tableau

Power BI

Looker

Python

R

Data storytelling

Communication

Detail-oriented

Tools

Tableau

Power BI

Looker

Python

R

MySQL

PostgreSQL

MongoDB

SAS

SPSS

Stata

Job description

THE SUCCESSFUL CANDIDATE WILL fulfill the below job responsibilities to drive best in class process mapping, analysis and understanding.

Data Analysis and Manipulation:

• Proficiency in tools like Microsoft Excel (including advanced functions like pivot tables, VLOOKUP, and macros).
• Strong skills in querying and managing data using SQL.

Data Visualization:

• Creating dashboards and visualizations using tools like Tableau, Power BI, or Looker.
• Using Python (Matplotlib, Seaborn) or R (ggplot2) for customized visualizations.

Programming Languages:

• Python (libraries like Pandas, NumPy) or R for statistical analysis and automation.

Database Management:

• Experience working with relational databases (MySQL, PostgreSQL, SQL Server) and NoSQL databases (MongoDB).

Statistical Software:

• Familiarity with tools like SAS, SPSS, or Stata for advanced statistical modeling.

Descriptive Statistics:

• Understanding measures like mean, median, standard deviation, and variance.

Inferential Statistics:

• Conducting hypothesis testing, confidence intervals, and regression analysis.

Probability Theory:

• Applying probability concepts in predictive modeling and risk assessment.

Attention to Detail: Ensuring accuracy in data analysis and reporting.

Collaboration: Working with cross-functional teams (e.g., IT, marketing, finance) to gather data and share insights.

Time Management: Prioritizing tasks and meeting deadlines for data projects.

Data Storytelling: Presenting data findings in a clear and compelling way for non-technical stakeholders.

Report Writing: Creating detailed and concise reports summarizing analysis and insights.

Presentation Skills: Effectively communicating results and recommendations through visuals and narratives.

SKILLS AND EXPERIENCE

• Ability to understand data structures, data tables and find connections between data structures to build analysis.
• Highly skilled at consolidating and manipulating large amounts of data and providing visualization to understand trends and patterns.
• Identifies key linkages in data that bring insights into process breaking points or process opportunities.
• Excellent communication skills, written, verbal and strong presentation skills. Ability to motivate and lead teams by influence.
• Able to translate customer feedback into meaningful solutions, is a self-motivated multitasker with high attention to detail.