Business Analytics trainer

Data Science (SME)

FACE Prep is India’s leading employability and industry-aligned education company. For over 17 years, we have partnered with higher education institutions to bridge the gap between academia and industry.

● Worked with 2,000+ colleges and universities across India

● Trained 6+ million students across disciplines

● Market leaders in:

● Employability skills & placement readiness

● Industry-aligned academic papers(credit-bearing)

● Full-scale industry-aligned degree programs with universities

● Pan-India operations, headquartered in Coimbatore

● Young, energetic, mission-driven team

● Fast-growing organization with headcount expected to cross 1,000 employees in the next financial year

At FACE Prep, people are the platform on which outcomes are built.

Position: Data Science (SME)

Location: Coimbatore

Duration: Full-Time

Department: Training & Development

Experience: Minimum 2 Years

Role Description :

The Data Science Subject Matter Expert (SME) is a full-time, on-site role based in Coimbatore. The SME will design and deliver data science curricula, including lectures, hands-on labs, and project-based learning for students preparing for tech careers. Daily responsibilities include creating educational content, developing problem sets and case studies, mentoring learners on data analysis and model-building, and reviewing student work to provide constructive feedback. The SME will collaborate with other trainers and the product team to align content with current industry practices and hiring requirements. The role also involves analyzing learner performance data, refining teaching strategies, and occasionally contributing to workshops, bootcamps, and online learning materials.

Requirements:

• Strong foundation in Statistics and Data Science, with the ability to explain complex concepts clearly and practically.

• Hands-on experience in Data Analytics and Data Analysis, including working with real-world datasets and deriving actionable insights.

• Excellent Analytical Skills for problem-solving, designing assignments, and guiding learners through data-driven decision-making.

• Proficiency in common data science tools and languages (e.g., Python/R, SQL, data visualization tools such as Tableau/Power BI).

• Prior experience in teaching, mentoring, corporate training, or curriculum development is highly beneficial.

• Bachelor’s or Master’s degree in a quantitative field such as Computer Science, Statistics, Mathematics, Data Science, or related discipline.

• Ability to communicate effectively with diverse learner groups and collaborate within a multidisciplinary team.

• Exposure to machine learning concepts, model evaluation, and deployment practices is a plus.

IMMEDIATE JOINERS REQUIRED

At Nineleaps, we work on bleeding-edge technology with class-leading engineering practices on products that touch the lives of millions of users. We endeavor on doing things the right way, while also promoting a culture of excellence.

About the Role:

We are looking for a Data Analyst with strong analytical and problem-solving skills to transform complex data into meaningful, actionable business insights. The role involves working with large datasets, conducting deep-dive analysis, driving automation, and supporting data-driven product and business decisions.

Key Responsibilities:

• Analyse historical and large datasets to understand data sources, identify trends and patterns, and uncover meaningful insights.
• Write complex SQL queries and leverage Python to perform data analysis, ad hoc investigations, and solve business problems.
• Create reports and translate analytical findings into clear, concise, and actionable recommendations for stakeholders.
• Identify opportunities to drive automation and process improvements, improving efficiency and reducing manual effort.
• Communicate data-driven insights effectively to both technical and non-technical stakeholders in a clear and impactful manner.
• Maintain accurate documentation, ensure high-quality deliverables, and consistently meet defined timelines.

Requirements:

• 3–6 years of experience in Data Analytics, Business Intelligence, Data Engineering, or a similar analytical role.
• Strong hands-on expertise in Python and advanced SQL, with the ability to work with and analyse large datasets.
• Experience working with Google Sheets, and implementing automation through data pipelines or workflows.
• Strong analytical and problem-solving skills, with the ability to interpret complex data and derive actionable insights.
• Excellent communication skills with the ability to effectively present methods, results, and recommendations to stakeholders.
• Ability to collaborate effectively with remote and geographically distributed teams across different time zones.

Company Link: https://www.nineleaps.com/

Company LinkedIn: https://www.linkedin.com/company/nineleaps/

We’re looking for a dynamic and driven Data Analyst to join our team of technology enthusiasts. This role is crucial in transforming data into insights that support strategic decision-making and innovation within the insurance technology (InsurTech) space. If you’re passionate about working with data, understanding systems, and delivering value through analytics, we’d love to hear from you.

What We’re Looking For

• Proven experience working as a Data Analyst or in a similar analytical role
• 5+ Years of experience in the field
• Strong command of SQL for querying and manipulating relational databases
• Experience with Power BI for building impactful dashboards and reports
• Familiarity with QlikView and Qlik Sense is a plus
• Ability to communicate findings clearly to technical and non-technical stakeholders
• Knowledge of Python or R for data manipulation is nice to have
• Bachelor’s degree in Computer Science, Statistics, Mathematics, Economics, or a related field
• Understanding of the insurance industry or InsurTech is a strong advantage

What You’ll Be Doing:

• Delivering timely and insightful reports to support strategic decision-making
• Working extensively with Policy Administration System (PAS) data to uncover patterns and trends
• Ensuring data accuracy and consistency across reports and systems
• Collaborating with clients, underwriters, and brokers to translate business needs into data solutions
• Organizing and structuring datasets, contributing to data engineering workflows and pipelines
• Producing analytics to support business development and market strategy

Business Analyst – Data (Insurance)

Job Summary

Looking for a Business Analyst with strong experience in Insurance Data and Data Analytics.

The candidate should understand Policy, Accounting, Data Mapping, Data Quality, and business requirements, and be able to bridge business and engineering teams.

Responsibilities

• Gather and document business requirements.

• Perform source-to-target mapping.

• Define business rules and transformation logic.

• Conduct data analysis and profiling.

• Work with data engineering teams during implementation.

• Define data quality rules.

• Validate delivered datasets with business users.

• Prepare functional specifications and mapping documents.

Must Have Skills •

Business Analysis

• Data Mapping

• Source-to-Target Mapping

• Data Quality

• SQL

• P&C Insurance

• Policy

• Accounting

• Excel

• Requirement Gathering

Preferred

• Claims

• Billing

• Underwriting

• Reinsurance

• Azure

• Snowflake

• Databricks  

We are looking for a detail-oriented and analytical Data Analyst to join our team. The ideal candidate will be responsible for collecting, analyzing, and interpreting data to identify trends, generate insights, and support business decision-making.

The candidate should be comfortable working with large datasets, creating reports and dashboards, and communicating findings clearly to business stakeholders.

Key Responsibilities

• Collect, clean, organize, and analyze data from multiple sources.
• Identify trends, patterns, anomalies, and business opportunities from data.
• Create dashboards, reports, and visualizations for business teams.
• Track and report key performance indicators (KPIs).
• Perform ad-hoc analysis to support business and management decisions.
• Develop and maintain automated reports where possible.
• Work with stakeholders to understand reporting and analytical requirements.
• Ensure data accuracy, consistency, and quality.
• Present analytical findings in a clear and actionable manner.
• Maintain documentation for reports, dashboards, and data processes.

Strong Data Analyst Profile with advanced Excel and SQL expertise

2

Mandatory (Experience 1): Must have 4+ years of overall experience as a hands-on Data Analyst

3

Mandatory (Tech skill 1): Must be highly proficient in advanced Excel — complex functions, macros, calculations, and pivots

4

Mandatory (Tech skill 2): Must have strong hands-on SQL and a good understanding of relational database concepts

5

Mandatory (Tech skill 3): Must be able to automate routine tasks using Python (for automation purposes)

6

Mandatory (Skill 1): Must have exceptional analytical, problem-solving, and logical skills, with strong attention to detail and accuracy

7

Mandatory (Skill 2): Must be able to understand complex data and business logic and convert it into a model (the role models complex utility tariffs, rates, and programs)

8

Mandatory (Communication): Must have strong verbal and written communication, able to work independently with India- and US-based team members and articulate problems and solutions over calls and email.

9

Mandatory (Location): Must be based locally in Pune (or the nearby Maharashtra belt — Mumbai, Nagpur), as the final round is in person

10

Preferred (Domain): Experience in the Energy/Utility industry and familiarity with basic utility (electrical/gas) tariff concepts

We're hiring a Data Analyst to turn raw data into clear, actionable insight. You'll partner with product, sales, marketing, and operations teams to answer their most important questions with data — building dashboards, running deep-dive analyses, and defining the metrics the business runs on. The ideal candidate is fluent in SQL, comfortable wrangling messy datasets, and just as strong at telling the story behind the numbers as they are at producing them. You'll own the accuracy and trustworthiness of the reporting stakeholders rely on to make decisions.

Key Responsibilities

• Design, build, and maintain dashboards and recurring reports across business functions
• Write and optimize SQL queries to extract, join, and transform data from multiple sources
• Run ad-hoc and deep-dive analyses to answer specific business questions
• Define, document, and standardize metrics and KPIs alongside stakeholders
• Investigate data-quality issues and ensure the numbers people see are accurate
• Translate analysis into clear recommendations and present them to non-technical audiences
• Support experimentation and A/B test analysis where relevant
• Automate repetitive reporting to free up time for higher-value analysis

Requirements

• 3+ years in a data analyst or business-intelligence role
• Strong SQL and hands-on experience with Power BI and/or Tableau
• Working knowledge of Python (pandas/numpy) for analysis
• Solid grounding in statistics and analytical methods
• Advanced Excel and strong data-visualization / storytelling skills
• Ability to work independently with stakeholders across functions

Nice to have

• Experience with cloud data warehouses (BigQuery, Snowflake, Redshift)
• Exposure to dbt or other ETL/transformation tooling

We are looking for a People Analytics Manager to turn people data into decisions.

Responsibilities

• Build HR and recruitment dashboards
• Analyse hiring, attrition and engagement trends
• Improve HR data quality
• Present insights to HR leadership

Requirements

• 3+ years in people or HR analytics
• Skilled in Power BI or Tableau, and SQL or Excel
• Strong storytelling with data

Job Title: Power BI Developer

Experience: 4+ Years

Location: Pune, Thane (Maharashtra), Indore (Madhya Pradesh)

Employment Type: Full Time with NAM Info Pvt Ltd (Payroll)

Job Description:

• Develop and maintain database and ETL solutions using Microsoft Fabric.
• Create interactive dashboards and reports using Power BI (preferred).
• Work with Qlik Sense or other data visualization tools.
• Write and optimize SQL queries for data analysis and reporting.
• Collaborate with business teams to understand reporting requirements and deliver data solutions.

Required Skills:

• Microsoft Fabric
• Power BI
• Qlik Sense or any Data Visualization Tool
• SQL
• MySQL

Job Summary

We are seeking a skilled and detail-oriented Power BI Developer to design, develop, and maintain enterprise-level BI solutions. The ideal candidate should have strong expertise in Power BI, DAX, SQL, Data Modeling, and performance optimization tools such as DAX Studio, Tabular Editor, and ALM Toolkit. The candidate will collaborate with business stakeholders to transform data into actionable insights and deliver high-quality dashboards and reports.

Key Responsibilities

• Design, develop, and maintain interactive Power BI dashboards and reports.
• Create complex DAX measures, calculated columns, and calculated tables to meet business requirements.
• Develop and optimize SQL queries, stored procedures, views, and ETL processes.
• Design and implement scalable Star Schema and Snowflake Data Models.
• Perform report and model performance tuning using DAX Studio.
• Utilize Tabular Editor for model management, calculation groups, best practice analysis, and metadata enhancements.
• Manage model deployment, comparison, and version control using ALM Toolkit.
• Configure and manage Power BI Workspaces, Apps, Gateways, and Security (RLS/OLS).
• Work extensively with Power BI Service/Web Experience, including dataset refresh schedules, deployment pipelines, subscriptions, and workspace administration.
• Collaborate with business users to gather and analyze reporting requirements.
• Ensure data accuracy, governance, security, and report performance.
• Troubleshoot data-related issues and implement effective solutions.
• Create technical documentation and provide knowledge transfer to support teams.

Required Skills

Technical Skills

• Strong experience in Microsoft Power BI Development.
• Expertise in DAX (Data Analysis Expressions).
• Advanced knowledge of SQL Server/T-SQL and query optimization.
• Strong understanding of Data Modeling concepts (Star Schema, Snowflake Schema, Fact & Dimension Tables).
• Hands-on experience with Tabular Editor.
• Experience using DAX Studio for model and query performance tuning.
• Experience with ALM Toolkit for model comparison and deployment.
• Strong understanding of Power BI Service/Web Experience.
• Knowledge of Power Query (M Language).
• Experience with Row-Level Security (RLS) and data governance.
• Understanding of data warehousing and ETL concepts.