Tableau Developer – Banking Domain at Nyx Wolves · Remote only · 5 - 7 years · ₹11L - ₹13L / yr · Bootstrapped · Remote only · Posted 22 Oct 2025

Now Hiring: Tableau Developer (Banking Domain) 🚀
We’re looking for a 6+ years experienced Tableau pro to design and optimize dashboards for Banking & Financial Services.
🔹 Design & optimize interactive Tableau dashboards for large banking datasets
🔹 Translate KPIs into scalable reporting solutions
🔹 Ensure compliance with regulations like KYC, AML, Basel III, PCI-DSS
🔹 Collaborate with business analysts, data engineers, and banking experts
🔹 Bring deep knowledge of SQL, data modeling, and performance optimization
🌍 Location: Remote
📊 Domain Expertise: Banking / Financial Services
✨ Preferred experience with cloud data platforms (AWS, Azure, GCP) & certifications in Tableau are a big plus!
Bring your data visualization skills to transform banking intelligence & compliance reporting.

About Nyx Wolves
About
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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
Website and Company profile:
www.wissen.com
LinkedIn Page:
https://www.linkedin.com/company/wissen-technology/
Company Name – Wissen Technology
Group of companies in India – Wissen Technology & Wissen Infotech
Work Location – Pune
While you may already know about Wissen and the company history, here is a quick rundown for you.
About Wissen Technology:
· The Wissen Group was founded in the year 2000. Wissen Technology, a part of Wissen Group, was established in the year 2015.
· Wissen Technology is a specialized technology company that delivers high-end consulting for organizations in the Banking & Finance, Telecom, and Healthcare domains. We help clients build world class products.
· Our workforce has highly skilled professionals, with leadership and senior management executives who have graduated from Ivy League Universities like Wharton, MIT, IITs, IIMs, and NITs and with rich work experience in some of the biggest companies in the world.
· Wissen Technology has grown its revenues by 400% in these five years without any external funding or investments.
· Globally present with offices US, India, UK, Australia, Mexico, and Canada.
· We offer an array of services including Application Development, Artificial Intelligence & Machine Learning, Big Data & Analytics, Visualization & Business Intelligence, Robotic Process Automation, Cloud, Mobility, Agile & DevOps, Quality Assurance & Test Automation.
· Wissen Technology has been certified as a Great Place to Work®.
· Wissen Technology has been voted as the Top 20 AI/ML vendor by CIO Insider in 2020.
· Over the years, Wissen Group has successfully delivered $650 million worth of projects for more than 20 of the Fortune 500 companies.
· We have served client across sectors like Banking, Telecom, Healthcare, Manufacturing, and Energy. They include likes of Morgan Stanley, Goldman Sachs, MSCI, StateStreet, Flipkart, Swiggy, Trafigura, GE to name a few.
Job Description -
SCOPE OF WORK-------------------------------------------------------------------------------------
- Tableau server version upgrade and testing of the latest version of tableau server
- Automate the process flow, automation of exception handling and recovery.
- To upgrade and support the Tableau latest version
- Enhance monitoring capability.
- Support deployment and testing of changes
- Independently manage and resolve all prod and QA issues/queries for on-prem and on-cloud solution for the changes that were rolled out
- prepare for release and changes
- Represent team in various enterprise work stream.
- Release
- Prepare CICD release package.
- Deploy changes to QA and Prod
- Extraction requests (query will be provided by L3)
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 seeking a talented Senior Power BI Engineer to join our team and deliver high-quality business intelligence solutions for our clients.
Technical Skills:
- Power BI Development: 4-5 years of hands-on experience developing Power BI reports, dashboards, and data models
- DAX: Strong proficiency in DAX (Data Analysis Expressions) for creating measures, calculated columns, and complex calculations
- Power Query / M Language: Expertise in data transformation and ETL processes using Power Query
- Data Modeling: Solid understanding of dimensional modeling, star schema, and data warehouse concepts
- SQL: Proficient in SQL for data extraction, manipulation, and querying relational databases
- Power BI Service: Experience with Power BI Service administration, workspace management, scheduled refreshes, and deployment pipelines
- Custom Visualizations: Experience creating and configuring custom visuals, including use of AppSource visuals and custom visual development using Power BI Visuals SDK
- API Integration: Hands-on experience with Power BI REST APIs for automating deployments, managing workspaces, and embedding reports
- Knowledge of data visualization best practices and UI/UX principles for dashboard design
- Experience with data source connectivity (SQL Server, Azure SQL, Oracle, SAP, Excel, APIs, web services)
- Looking out for only immediate joiners
Responsibilities:
- Design, develop, and deploy interactive Power BI dashboards and reports for client projects
- Build and optimize data models using star schema and snowflake schema design patterns
- Develop complex DAX measures and calculated columns to support business requirements
- Connect to and integrate data from multiple sources including SQL databases, Excel, APIs, cloud platforms, and data warehouses
- Implement data transformation and cleansing using Power Query (M language)
- Collaborate with clients and stakeholders to gather requirements and translate business needs into technical specifications
- Optimize report performance through query optimization, aggregations, and efficient data modeling
- Configure and manage Power BI Service including workspaces, datasets, dataflows, and row-level security (RLS)
- Create and maintain documentation for data models, reports, and development processes
- Provide training and support to end-users on Power BI reports and dashboards
- Design and implement custom visualizations using Power BI custom visuals and third-party visual libraries.
- Implement conditional formatting, dynamic titles, and dynamic content based on user selections
- Stay current with Power BI updates, new features, and industry best practices
Hiring for Data Analyst
Exp : 5 - 7 yrs
Edu : BE/B.Tech
Work Location : Noida WFO
Skills :
Expertise in SQL Server, including database design, performance tuning, query optimization, and security.
Hands-on experience developing ETL solutions using SSIS, Azure Data Factory (ADF), and Python.
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/

Only Immediate joiners are considered.
Key Skills:
Technical Skills
- Power BI Development: 4-5 years of hands-on experience developing Power BI reports, dashboards, and data models
- DAX: Strong proficiency in DAX (Data Analysis Expressions) for creating measures, calculated columns, and complex calculations
- Power Query / M Language: Expertise in data transformation and ETL processes using Power Query
- Data Modeling: Solid understanding of dimensional modeling, star schema, and data warehouse concepts
- SQL: Proficient in SQL for data extraction, manipulation, and querying relational databases
- Power BI Service: Experience with Power BI Service administration, workspace management, scheduled refreshes, and deployment pipelines
- Custom Visualizations: Experience creating and configuring custom visuals, including use of AppSource visuals and custom visual development using Power BI Visuals SDK
- API Integration: Hands-on experience with Power BI REST APIs for automating deployments, managing workspaces, and embedding reports
- Knowledge of data visualization best practices and UI/UX principles for dashboard design
- Experience with data source connectivity (SQL Server, Azure SQL, Oracle, SAP, Excel, APIs, web services)
Additional Required Qualifications
- Bachelor’s degree in computer science, Information Systems, Business Analytics, or related field
- Strong analytical and problem-solving abilities
- Excellent communication skills to work with both technical and non-technical stakeholders
- Ability to manage multiple projects and prioritize tasks effectively
- Detail-oriented with commitment to delivering high-quality work
- Client-facing experience with ability to gather requirements and present solutions
Preferred Qualifications
- Microsoft Power BI certification (PL-300 or equivalent)
- Experience with Azure ecosystem (Azure Data Factory, Azure Synapse Analytics, Azure SQL Database)
- Knowledge of other Microsoft BI tools (SSRS, SSAS, Excel Power Pivot)
- Familiarity with Python or R for advanced analytics integration
- Experience with Dataflows and incremental refresh strategies
- Understanding of API development for custom visuals or Power BI embedded solutions
- Experience working in Agile/Scrum development environments

Key Skills:
Technical Skills
- Power BI Development: 4-5 years of hands-on experience developing Power BI reports, dashboards, and data models
- DAX: Strong proficiency in DAX (Data Analysis Expressions) for creating measures, calculated columns, and complex calculations
- Power Query / M Language: Expertise in data transformation and ETL processes using Power Query
- Data Modeling: Solid understanding of dimensional modeling, star schema, and data warehouse concepts
- SQL: Proficient in SQL for data extraction, manipulation, and querying relational databases
- Power BI Service: Experience with Power BI Service administration, workspace management, scheduled refreshes, and deployment pipelines
- Custom Visualizations: Experience creating and configuring custom visuals, including use of AppSource visuals and custom visual development using Power BI Visuals SDK
- API Integration: Hands-on experience with Power BI REST APIs for automating deployments, managing workspaces, and embedding reports
- Knowledge of data visualization best practices and UI/UX principles for dashboard design
- Experience with data source connectivity (SQL Server, Azure SQL, Oracle, SAP, Excel, APIs, web services)
Additional Required Qualifications
- Bachelor’s degree in computer science, Information Systems, Business Analytics, or related field
- Strong analytical and problem-solving abilities
- Excellent communication skills to work with both technical and non-technical stakeholders
- Ability to manage multiple projects and prioritize tasks effectively
- Detail-oriented with commitment to delivering high-quality work
- Client-facing experience with ability to gather requirements and present solutions
Preferred Qualifications
- Microsoft Power BI certification (PL-300 or equivalent)
- Experience with Azure ecosystem (Azure Data Factory, Azure Synapse Analytics, Azure SQL Database)
- Knowledge of other Microsoft BI tools (SSRS, SSAS, Excel Power Pivot)
- Familiarity with Python or R for advanced analytics integration
- Experience with Dataflows and incremental refresh strategies
- Understanding of API development for custom visuals or Power BI embedded solutions
- Experience working in Agile/Scrum development environments
What you'll need
- Bachelor's degree in Computer Science, Engineering, Information Systems, or a related technical field.
- 5+ years of professional data engineering experience.
- Experience designing and building cloud-native data solutions.
- Strong expertise with Google Cloud Platform, including BigQuery. Experience developing transformation frameworks using dbt.
- Strong SQL and Python programming skills.
- Experience with PostgreSQL or other relational databases.
- Experience orchestrating workflows using Apache Airflow or Cloud Composer.
- Experience implementing Infrastructure as Code using Terraform. Experience building CI/CD pipelines using GitHub Actions, GitLab CI, Jenkins, or similar platforms.
- Experience developing scalable batch and streaming data pipelines. Strong problem-solving skills with the ability to balance scalability, reliability, and cloud cost optimization.
Preferred Qualifications
- Experience with Pub/Sub, Datastream, Dataflow, Cloud Storage, Cloud Functions, or Cloud Run.
- Experience building multi-tenant SaaS platforms.
- Experience implementing metadata-driven governance, lineage, and data quality frameworks.
- Experience supporting AI, machine learning, or customer-facing analytics platforms.
- Experience with Kubernetes and Docker.
- Design, build, and maintain scalable ETL/ELT pipelines for batch and real-time data ingestion and transformation.
- Develop and optimize data lake and data warehouse architectures (e.g., Snowflake, BigQuery, Redshift).
- Work with cloud platforms GCP, Azure to manage data infrastructure.
- GCP as mandatory skills
- Collaborate with analytics and product teams to understand data needs and deliver solutions.
- Ensure data quality, reliability, security, and compliance across all data systems.
- Mentor junior data engineers and contribute to best practices and code reviews.
- Monitor and troubleshoot data pipeline performance and resolve data-related issues.
- Automate data validation, monitoring, and alerting processes.
- 8+ years of experience in data engineering or software engineering with a data focus.
- Proficient in SQL and at least one programming language (e.g., Python, Scala, Java).
- Experience with modern data warehousing tools (e.g., Snowflake, Redshift, BigQuery).
- Strong understanding of data modeling, data lakes, and ETL/ELT design.
- Hands-on experience with orchestration tools like Airflow, dbt, or similar.
- Solid experience with cloud data platforms (AWS/GCP/Azure).
- Familiarity with CI/CD pipelines, containerization (Docker/Kubernetes), and version control (Git).
- Experience working in a DevOps or DataOps environment.
- Knowledge of data governance, lineage, and cataloging tools (e.g., Collibra, Alation).
- Familiarity with streaming technologies (Kafka, Spark Streaming, Flink).
- Experience supporting machine learning workflows and data science initiatives.





