34 Data Analysts jobs in Udaipur

Randstad Enterprise is a global talent leader, providing solutions and expertise that help

companies position for growth, execute on strategy, and improve business agility. Our

experience encompasses all facets of the talent acquisition of permanent employees and the

contingent and contractor workforce. Key offerings include Managed Services Provider (MSP)

programs, Recruitment Process Outsourcing (RPO), and Blended Workforce Solutions.

Randstad Sourceright offers solutions Globally in North America, EMEA, and APAC. Working

for a multi-country organization means working with clients and colleagues from different

backgrounds. This results in a digital way of working and requires a proactive and culturally

inclusive mindset.

Purpose of the job

This role aims to partner with the Regional and Global Stakeholders within RSR (who can include but are not limited to Operational Teams, Data engineering, BI Support Teams, Internal teams, and RSR clients) and provide business solutions through data driven insights/recommendations.

We're seeking someone with a flair for data storytelling to join our team. In this role, you'll transform complex data into compelling narratives that drive business decisions. This position has operational and technical responsibility for driving data insights, analytics, and consulting across all operating companies within RSR. This position will develop processes and strategies to consolidate, automate, and improve problem solving for external clients and internal stakeholders.

As a Business Intelligence Partner, you will oversee the end-to-end delivery of regional and global accounts with respect to data and analytics. This will include working with data engineering to provide usable datasets, creating dashboards with meaningful insights & visualizations within our BI solution (DOMO), and ongoing communication and partnering with the stakeholders. The key to this is that as a Business Intelligence Partner, you will be a commercial and operational expert who can translate data into insights. You will use this to mitigate risk, find operational and revenue-generating opportunities, and provide business solutions.

Key stakeholders

• RSR internal stakeholders include but are not limited to C-Suite, Finance, Regional

Managing Directors, Vice Presidents, and operational account leaders

• RSR external clients

Position Summary

Consulting / Partnering (60%):

• Leverage data analytics to extract actionable insights from external client and

internal RSR data, to help drive strategic business decisions

• Analyze the client’s data to present the account leadership and client with potential

approaches to identify service delivery improvement opportunities and value-added

Initiatives.

• Conduct in-depth data analysis to uncover revenue-generating opportunities,
• supporting account leadership with data-driven recommendations.
• Serve as a key liaison between clients, operations teams, and data engineering,

translating business needs into technical requirements

• Actively collect and monitor stakeholder feedback to quantify Data and Analytics

impact and ROI

• Collaborate with global teams to standardize data practices and share analytics best

practices, along with coaching/mentoring junior team members

• Apply expertise in data visualization and storytelling to effectively communicate

complex insights to stakeholders

• Build and maintain client/stakeholder relationships through consistent improvement

and delivery of high-value data analytics

• Provide thought leadership in business intelligence and data analytics methodologies
• Liaise with client program owners and ATS Vendors/Partners to optimize data

integration and reporting capabilities

Implementation of BI solutions (30%):

• Be the implementation workstream lead responsible for delivering a reporting suite
• and introductory standard for the account and client.
• Provide recommendations on organizing the same concept offerings to appropriate

‘tier-based’ programs currently licensed for DOMO/Talent Radar.

• Responsible for ensuring all contractual conditions around reporting, financial

elements, SLA's, and KPI's are reviewed, understood, and adhered to

• Assess operating reality to validate solution requirements and adjust as needed.
• Implement and reinforce tools, including standards, procedures, and documentation.
• Ensure the team has living documentation on reporting requirements, data

processes, and other program-specific content.

• Oversee the design and build of insightful, scalable, and actionable visualizations.
• Develop, document, and maintain a comprehensive quality management program
• Build, implement, and schedule production standards of files and reports to ensure

accuracy and timeliness.

• Ensure reporting quality and accuracy by evaluating, integrating, and complementing

data sources.

• Execute continuous process improvement process.
• Knowledge of general database functions, data storage, data models, SQL, and data

transfer protocols

Maintain Standards (10%):

• Work within the agreed parameters aligned to the global method of BI production
• Leverage an agile work environment to incorporate new innovative and value

components into existing portfolios

• Organize a feedback standard from stakeholders (internal and external) in order to

create use cases, case study materials and other customer-facing material

(coordinate with RFP and sales approach as appropriate)

• Promote available resources and enterprise tools for operations training/ coaching

needs from a BI perspective.

• Ensure data governance principles and guidelines are being met

Job Requirements

Education

• Bachelor’s degree mandatory
• Master’s degree a plus

Mandatory Experience

• 7-9 years experience in data analytics and/or consulting in a delivery environment
• Experience with DOMO (or other visualization tools such as Tableau, Spotfire, PowerBI) and GCP
• Management Information/Business Intelligence/Analytics background is essential
• Project Management and/or process improvement experience
• Talent Acquisition/MSP/RPO/People Analytics experience

Preferred Experience:

• Advanced Analytics/Data science/AI/ML experience preferred

Knowledge, Skills, and Abilities:

• Technical Skills:
• Data Visualization:
• Expertise in data visualization tools such as DOMO, Tableau, Spotfire, Qlikview, Power BI - understanding of data visualization methods including usage of various chart types and dashboarding
• Data Manipulation:
• Proficiency in data cleansing and preprocessing techniques to ensure

data quality

• Strong SQL skills for data extraction, transformation, and analysis
• Proficiency in advanced Excel, including macros, pivot tables, and data modeling
• Knowledge of data governance principles and best practices for maintaining data integrity
• Analytics:
• Knowledge of key descriptive analytics techniques including but not limited to data summarization (central tendency, dispersion etc.), data visualization methods, time series analysis, correlation analysis, cross- tabulation, frequency distributions, Pareto analysis, cohort analysis, funnel analysis, RFM analysis, exploratory data analysis, and basic cluster analysis for segmentation
• Proficiency in data mining techniques to uncover patterns and trends in large datasets
• Experience with predictive modeling for forecasting and decision support, knowledge of A/B testing methodologies to drive continuous improvement, and the ability to apply statistical techniques to inform strategy and investment decisions is a plus

Client-facing Experience:

• Communication:
• Excellent communication and facilitation skills required for various levels throughout external and internal organizational stakeholders
• Presentation & Storytelling:
• Expertise in narrative structures and audience analysis, so as to create compelling data narratives that aid driving business decisions
• Excellent presentation skills used in delivering solutions to senior leadership and client stakeholders
• Skilled in translating data insights into clear, non-technical language for diverse stakeholders
• Demonstrated continuous improvement, process documentation, and workflow skills

Organizational Experience :

• Working in multinational organizations, preferably in HR Staffing, Recruitment or Outsourcing

Role - Senior Manager – Data & Business Intelligence

Location - Kolkata / remote

We are looking for a Senior Manager - Data & BI to lead data architecture, predictive analytics, and business intelligence to empower data-driven decisions and automate customer operations.

Key Responsibilities:

• Build and maintain clean, scalable data pipelines and manage data archival processes.
• Oversee development of Customer 360 data platforms, enriching internal insights across teams.
• Drive predictive modeling (Churn, LTV, activity scoring), recommendation engines , and product experimentation (A/B testing, pricing strategies).
• Map and streamline customer journeys using data insights and automation.
• Lead data democratization , building dashboards and self-serve tools for business units.
• Collaborate with Customer Support to implement AI-based automation , sentiment analysis, and knowledge base enhancement .
• Integrate voice/video interfaces and localised tools to scale support experiences.

Ideal Background:

• 6–10 years in data science or data engineering with leadership experience.
• Strong understanding of ML for business applications and modern data stack (e.g., dbt, Snowflake, Airflow, Looker, etc.).

Job Title: Data Analytics and Business Intelligence Engineer (Databricks Specialist)

Location: Remote

Timings : 6.30PM IST -3.30 AM IST

Job Type: Full-Time

Job Summary:

We are seeking a highly skilled and analytical Data Analytics and Business Intelligence (BI) Engineer with strong experience in Databricks to join our data team. The ideal candidate will be responsible for designing, developing, and maintaining scalable data pipelines, dashboards, and analytics solutions that drive business insights and decision-making.

Key Responsibilities:

• Design and implement robust data pipelines using Databricks , Apache Spark , and Delta Lake .
• Develop and maintain ETL/ELT workflows to ingest, transform, and store large volumes of structured and unstructured data.
• Build and optimize data models and data marts to support self-service BI and advanced analytics.
• Create interactive dashboards and reports using tools like Power BI , Tableau , or Looker .
• Collaborate with data scientists, analysts, and business stakeholders to understand data needs and deliver actionable insights.
• Ensure data quality, integrity, and governance across all analytics solutions.
• Monitor and improve the performance of data pipelines and BI tools.
• Stay current with emerging technologies and best practices in data engineering and analytics.

Required Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.
• 5+ years of experience in data engineering, analytics, or BI development.
• Strong proficiency in Databricks , Apache Spark , and SQL .
• Experience with cloud platforms such as Azure , AWS , or GCP .
• Proficiency in Python or Scala for data processing.
• Hands-on experience with data visualization tools (Power BI, Tableau, etc.).
• Solid understanding of data warehousing concepts , dimensional modeling , and data lakes .
• Familiarity with CI/CD pipelines , version control (Git) , and Agile methodologies .

Preferred Qualifications:

• Databricks certification (e.g., Databricks Certified Data Engineer Associate/Professional ).
• Experience with MLflow , Delta Live Tables , or Unity Catalog .
• Knowledge of data governance , security , and compliance standards.
• Strong communication and stakeholder management skills.

Company Overview

Wellness Pro Academy and Club Thrive is a wellness coaching business founded by Cate Stillman, dedicated to empowering individuals to achieve their health and wellness goals. We operate multiple brands including Wellness Pro Academy, ClubThrive.Global, Yogahealer, catestillman.com, and yogidetox.com. We offer a range of coaching services, courses, and resources designed to foster holistic well-being and have published multiple books including PRIMAL HABITS, Uninflamed, Body Thrive, Master of YOU, How to Scale Your Wellness Business, and The Witch's Cancer Journal.

About the Role

We're seeking a skilled Lead Generation Specialist who excels in AI-powered data mining and lead scraping techniques. The ideal candidate will leverage advanced tools to identify, extract, and qualify high-value leads for our marketing pipeline.

Abilities

• Ability to set up and manage lead pipelines, contact tagging, segmentation , and lead nurturing workflows in Keap.
• Ability to configure lead scoring models in Keap based on user activity (email engagement, website visits, form submissions).
• Ability to extract and analyze CRM data to optimize lead generation strategies .
• Experience in setting up automated follow-ups for cold leads based on engagement metrics.

Key Responsibilities

• Marketing Qualified Leads - cold leads into our funnel
• Develop and implement lead generation strategies using AI and data mining technologies
• Work with operations team to set up and optimize automated workflows in Make (formerly Integromat) to streamline lead collection processes
• Extract, clean, and analyze data from various online sources to identify potential leads
• Ensure all lead generation activities comply with data protection regulations
• Qualify leads based on established criteria and enrich lead data with relevant information
• Maintain and update lead databases with accurate information
• Collaborate with sales and marketing teams to refine lead qualification criteria
• Monitor performance metrics and optimize lead generation strategies
• Stay current with evolving AI technologies and lead scraping methods

Required Skills & Experience

• Sales Navigator
• Apollo.io
• Phatombuster
• Workflow automation
• Experience with data extraction, transformation, and loading (ETL) processes
• CRM systems and lead management workflows
• Knowledge of data privacy regulations (GDPR, CCPA, etc.)
• Strong analytical skills with attention to detail
• Ability to identify patterns and opportunities in large datasets
• Experience with web scraping libraries and tools

Preferred Qualifications

• Familiarity with APIs and webhook integrations
• Understanding of B2B sales processes
• Experience with Background in sales or marketing operations

What We Offer

• Competitive salary and performance bonuses
• Immediate Hire Available - We're ready to start the right candidate right away
• Trial period with competitive starting rate
• Raise every 30 days based on content performance and traction
• Full compensation achieved at 90 days based on demonstrated results
• Collaborative and supportive remote work environment
• Opportunity to grow with an expanding women's wellness company
• Impactful work that contributes to helping women achieve their wellness goals

PostGrid is the world’s leading enterprise SaaS platform for automated offline communications. Our robust APIs empower organizations to create, personalize, and dispatch physical mail letters, postcards, checks, and more to any address on the globe without ever touching an envelope. Operating at massive scale across multiple continents, we’re redefining how brands connect with people beyond the inbox. If you’re driven to build category-defining technology and want to shape the future of offline engagement, join our high-caliber team and help us transform the way the world sends mail.

Job Overview:

We are looking for a talented data analyst to join our team. The Data Analyst will collect, clean, analyze, and visualize data from various sources to support performance tracking, business KPIs, and product decisions.

Job Responsibilities

• Collect, process, and clean datasets from multiple internal and external sources
• Build dashboards and reports using tools like Excel, Google Sheets, Power BI, or Tableau
• Monitor KPIs and alert stakeholders on anomalies or trends
• Collaborate with departments to define metrics and data needs
• Perform cohort, funnel, and correlation analysis

Job Skills Required

• Strong proficiency in SQL and Excel
• Data visualization experience (Tableau, Looker, Power BI)
• Understanding of statistical analysis and data modeling
• Experience with scripting languages like Python or R
• Ability to communicate findings clearly

Bonus Skills

• Familiarity with dbt, BigQuery, or Snowflake
• Experience in SaaS or product analytics
• Knowledge of GA4 or Mixpanel

Ready to make your mark? Join PostGrid’s tight-knit, high-energy team and build technology that powers global offline communications. With competitive pay, flexible work, and a learning-obsessed culture, you’ll ship bold ideas fast and see your impact instantly. Hungry for challenge and craftsmanship? Apply today and help us reinvent how the world connects beyond the inbox.