Data Visualization Consultants (PharmaTech) at TalentXO · Bengaluru (Bangalore) · 4 - 8 years · ₹20L - ₹25L / yr · Profitable · Posted 17 Mar 2026

Role & Responsibilities
- Expertise with various Pharma datasets such as Sales, Rx, Claims, Specialty Pharmacy etc.
- Consulting with US pharma clients to plan, design and execute consulting projects.
- Understand business problems and requirements to recommend solutions.
- Designing dashboards with the use of visualization tools like Power BI, or Tableau
- Strong knowledge of Data Management concepts
- Optimize BI Solutions for performance and intuitiveness.
- Own accounts independently and ensure delivery excellence and quality
- Managing team of offshore Analysts for delivery operations
- Manage project deadlines and deliverables with minimal supervision.
- Develop solutions based on BI platforms such as custom extensions, and NLG/NLP-based solutions.
- Analyzing the data to identify trends and share insights.
- Providing support to pre-sales and marketing initiatives within Datazymes
- Participate in client discussions, demos, and Proof of Concepts development.
- Mentor team on data, technology, and business aspects to ensure seamless delivery.
Ideal Candidate
- Mandatory (Experience 1) : Must have 4+ years of Data Visualization/ Data Analytics Dashboard experience of which 2+ years is in pharma industry
- Mandatory (Experience 2) : Must have 2+ years of hands-on experience working with pharma datasets (Sales, Rx, Claims, Specialty Pharmacy data)
- Mandatory (Skill 1) : Must have experience translating business requirements into analytics / BI solutions and generating actionable insights
- Mandatory (Skill 2) : Must have strong experience in BI tools (Tableau / Power BI / Qlik) including dashboard design, development, and optimization
- Mandatory (Skill 3) : Must have strong SQL skills and working knowledge of Python for data analysis
- Mandatory (Skill 4) : Must have strong understanding of commercial analytics and data modelling
- Mandatory (Client Exposure) : Must have experience working with external clients or stakeholders and participating in client discussions, demos, or consulting engagements
- Mandatory (Ownership) : Must have experience handling end-to-end project delivery, managing timelines, and owning accounts independently
- Mandatory (Company) : Pharma / life sciences analytics / consulting companies
- Mandatory (Note 1) : Hybrid, WFH flexibility 6 days a month
- Mandatory (Note 2) : CTC is inclusive of 10% variable
- Preferred (Skill 1) : Experience in predictive modeling (regression, classification, clustering)
- Preferred (Skill 2) : Exposure to advanced analytics (NLP/NLG, POCs, pre-sales support)
- Preferred (Experience) : Experience working with US pharma clients or global stakeholders

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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
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
About VerbaFlo.ai:
VerbaFlo.ai is a fast-growing AI SaaS startup revolutionizing how businesses leverage AI-powered solutions. As a part of our dynamic team, you’ll work alongside industry leaders and visionaries to drive innovation and execution across multiple functions.
Role Overview:
We are seeking a Senior Business Data Analyst with strong experience in analytics, SQL, and dashboarding (preferably Metabase) who can independently lead complex analytical initiatives, translate business problems into scalable data solutions, and mentor junior analysts. This role demands someone who can think strategically, operate with high ownership, and ensure the company runs on accurate, timely, and actionable insights.
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Strategic & Cross-Functional Ownership
- Partner with leadership (Product, Ops, Growth, Finance) to translate business goals into analytical frameworks, KPIs, and measurable outcomes.
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- Own end-to-end development of dashboards and analytics systems in Metabase (or similar BI tools).
- Build scalable KPI frameworks, business reports, and automated insights to support day-to-day and long-term decision-making.
- Ensure data availability, accuracy, and reliability across reporting layers.
Advanced Data Analysis
- Write, optimize, and review complex SQL queries for deep-dives, cohort analysis, funnel performance, and product/operations diagnostics.
- Conduct root-cause analysis, hypothesis testing, and generate actionable insights with clear recommendations.
Data Infrastructure Collaboration
- Work closely with engineering/data teams to define data requirements, improve data models, and support robust pipelines.
- Identify data quality issues, define fixes, and ensure consistency across systems and sources.
Leadership & Process Excellence
- Mentor junior analysts, review their work, and establish best practices across analytics.
- Standardize reporting processes, create documentation, and improve analytical efficiency.
Core Requirements:
- 5–8 years of experience as a Business Analyst, Data Analyst, Product Analyst, or similar role in a fast-paced environment.
- Strong proficiency in SQL, relational databases, and building scalable dashboards (Metabase preferred)
- Demonstrated experience in converting raw data into structured analysis, insights, and business recommendations.
- Strong understanding of product funnels, operational metrics, and business workflows.
- Ability to communicate complex analytical findings to both technical and non-technical stakeholders.
- Proven track record of independently driving cross-functional initiatives from problem definition to execution.
- Experience with Python, Git, or BI tools like Looker/Power BI/Tableau.
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- Familiarity with product analytics tools (Mixpanel, GA4, Amplitude).
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Why Join Us?
- Work directly with top leadership in a high-impact role.
- Be part of an innovative and fast-growing AI startup.
- Opportunity to take ownership of key projects and drive efficiency.
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If you’re looking for an exciting role that combines strategy, execution, and leadership exposure, we’d love to hear from you!
Apply now to join VerbaFlo.AI on this journey.
Business Intelligence Analyst - 2
Planview is the world leader in enterprise software planning for enterprise-wide deployment strategies, processes and resources. More than 4000 customers, among the world's largest and most respected companies, have successfully implemented Planview software to optimize their enterprise portfolio management, project, portfolio and resource management, business intelligence and expense tracking processes. We have had stable, organic growth for years and now need reinforcement.
Job Summary:
The Planview BI Team is seeking an experienced Business Intelligence Analyst – 2 to support, troubleshoot, optimize, and enhance business intelligence and reporting solutions built on Planview products.
This role focuses on advanced BI support across Power BI, Microsoft Fabric, SQL Server, SSAS, SSRS, OData, Dataflows, Data Pipelines, Data warehousing, and Data models. The BI Analyst – 2 will handle complex technical issues, perform advanced root-cause analysis and performance tuning, and work closely with customers and internal teams to deliver scalable BI solutions.
Key Responsibilities:
· Troubleshoot and resolve complex issues involving data accuracy, refresh failures, report behavior, connectivity, security, and performance across Power BI, SSRS, SSAS, SQL Server, OData, and Data warehousing layers.
· Perform advanced T-SQL development and performance tuning, including execution plans, indexing, query optimization, stored procedures, views, and complex queries.
· Support, develop, maintain, and optimize Power BI semantic models, DAX measures, Power Query, datasets, workspaces, gateways, refreshes, and Row-Level Security.
· Support and troubleshoot SSAS Tabular and Multidimensional models, including processing, calculations, relationships, security, and performance.
· Develop and troubleshoot advanced SSRS/paginated reports, including parameters, subreports, drill-through, expressions, pagination, subscriptions, and export formats.
· Support Microsoft Fabric solutions including Data Pipelines, Dataflows Gen2, Lakehouse/Warehouse, semantic models, and Power BI integration.
· Troubleshoot ETL/ELT processes, data pipelines, Dataflows, refresh failures, and data transformation issues across BI environments.
· Analyze and troubleshoot OData feeds, including filtering, pagination, refresh, connectivity, and large-volume data scenarios.
· Support Planview Automart, Datamart, and data warehouse implementations and ensure data consistency across source, warehouse, semantic, and reporting layers.
· Perform end-to-end root-cause analysis and performance optimization across the BI technology stack.
· Collaborate with customers, Product, Engineering, Hosting, and Support teams on complex technical issues and escalations.
· Provide technical guidance and mentoring to BI Analyst – 1 team members and contribute to BI best practices and documentation.
Required Skills & Qualifications:
· 5+ years of professional experience in Business Intelligence Development, BI Support, Data Analytics, or a related field.
· Strong hands-on experience with Power BI, DAX, Power Query, and enterprise data modeling.
· Advanced knowledge of SQL Server and T-SQL, including query optimization and performance tuning.
· Strong experience with SSRS and enterprise reporting.
· Experience with SSAS Tabular and/or Multidimensional models.
· Experience with Microsoft Fabric, particularly Data Pipelines, Dataflows, Lakehouse/Warehouse, and Power BI.
· Experience working with OData and enterprise data integration.
· Strong understanding of Data Warehousing, Datamarts, Automart, ETL/ELT, and data modeling.
· Experience troubleshooting Power BI Service, gateways, refreshes, security, and semantic models.
· Strong analytical, troubleshooting, and root-cause analysis skills.
· Proven ability to work directly with customers and communicate technical concepts to both technical and non-technical stakeholders.
· Experience with tools such as DAX Studio, Tabular Editor, Performance Analyzer, Query Store, or SQL Profiler is an advantage.
- Relevant Microsoft certifications such as PL-300, DP-600, or DP-203 are an added advantage.
The Power BI Intern will assist the analytics team in using Microsoft Power BI to create interactive dashboards and reports. Working with actual datasets to assist well-informed business decision-making, this position provides practical exposure to data analysis, visualization, and business intelligence techniques.
About the Role
We are seeking an experienced Power BI Developer to design, develop, and maintain interactive dashboards and reports that drive data-informed decision-making across the business. The ideal candidate will have deep expertise in DAX, Power Query, data modeling, and enterprise data integration, along with strong communication skills to coordinate directly with clients, and the ability to mentor junior team members.
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- Design, develop, and maintain interactive Power BI dashboards and reports
- Develop complex DAX measures, calculated columns, and KPIs
- Build and optimize data models using star and snowflake schema design
- Perform data transformation and cleansing using Power Query (M Language)
- Connect Power BI with enterprise data sources including SQL Server, Oracle, PostgreSQL, APIs, Excel, and SharePoint
- Optimize report performance and troubleshoot data/report issues
- Implement Row-Level Security (RLS) and manage Power BI Service workspaces
- Partner with business stakeholders and clients to gather and translate reporting requirements
- Mentor junior developers and contribute to overall BI solution architecture
Required Skills & Experience
- 3-4 years of hands-on Power BI development experience
- Strong proficiency in Power BI Desktop, Power BI Service, DAX, Power Query, SQL, and data modeling
- Experience with relational databases such as SQL Server, Oracle, or PostgreSQL
- Solid understanding of ETL processes and performance tuning
- Excellent analytical, communication, and problem-solving skills, with the ability to coordinate directly with clients and stakeholders
- Basic understanding of Object-Level Security (OLS) in Power BI (not mandatory, but working knowledge is a plus)
- Experience with Incremental Refresh (Incremental Load) and DAX optimization for large datasets
- Hands-on experience handling large datasets (4GB+) in Power BI/Power Query, along with performance and query optimization techniques
- Exposure to big data platforms such as Databricks
- Strong working knowledge of DAX queries and functions
- Familiarity with Power BI MCP Server and AI-driven features (e.g., Copilot in Power BI, natural language querying via MCP)
Preferred / Nice-to-Have Skills
- Experience with Microsoft Fabric
- Knowledge of Azure Data Factory, Azure Synapse, or Azure SQL
- Microsoft Power BI Certification
Eligibility Criteria
- Immediate joiners only — maximum notice period of 15 days
- Must be available to work the 4:00 PM – 11:40 PM IST shift
- Comfortable working in a 100% remote setup
- Excellent communication skills, as the role requires regular coordination with clients
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
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.
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).
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- Develop and maintain automated reports where possible.
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Requirements
- 3+ years in people or HR analytics
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