9 Data Storytelling Jobs

What You'll Do The Data Science Engineering team is looking for a Lead Data Analytics Engineer to join our team! You should be and gather our requirements, understanding complex product, business, and engineering challenges, composing and prioritizing research projects, and then building them in partnership with cloud engineers and architects, and using the work of our data engineering team. You have deep SQL experience, an understanding of modern data stacks and technology, experience with data and all things data-related, and experience guiding a team through technical and design challenges. You will report into the Sr. Manager, Cloud Software Engineering and be a part of the larger Data Engineering team. What Your Responsibilities Will Be Avalara is looking for data analytics engineer who can solve and scale real world big data challenges. Have end to end analytics experience and a complex data story with data models and reliable and applicable metrics. Build and deploy data science models using complex SQL, Python, DBT data modelling and re-useable visualization components (PowerBI/Tableau/Hex/R-shiny etc.) Expert level experience in PowerBI, SQL and Snowflake Solve needs on a large scale by applying your software engineering and complex data. Lead and help develop a roadmap for the area and the team. Analyze fault tolerance and high availability issues, performance, and scale challenges, and solve them. Lead programs and collaborate with engineers, product managers, and technical program managers across teams. Understand the trade-offs between consistency, durability, and costs to build solutions that can meet the demands of growing services. Ensure the operational readiness of the services and meet the commitments to our customers regarding availability and performance. Manage end-to-end project plans and ensure on-time delivery. Communicate the status and big picture to the project team and management. Work with business and engineering teams to identify scope, constraints, dependencies, and risks. Identify risks and opportunities across the business and guide solutions. What You'll Need to be Successful Bachelor's Engineering degree in Computer Science or a related field. 8+ years of experience of enterprise-class experience with large-scale cloud solutions in data science/analytics projects and engineering projects. Expert level experience in PowerBI, SQL and Snowflake Experience with data visualization, Python, Data Modeling and data storytelling. Experience architecting complex data marts applying DBT. Architect and build data solutions that use data quality and anomaly detection best practices. Experience building production analytics using the Snowflake data platform. Experience in AWS and Snowflake tools and services Good to have: Certificate in Snowflake is plus Relevant certifications in data warehousing or cloud platform. Experience architecting complex data marts applying DBT and Airflow.

Role Description: This Sr Associate Business Analyst will play a pivotal role in optimizing our organizations technical environment through data modeling, visualization, and strategic analysis. This position will focus on designing and delivering data-driven insights to support the Technology Rationalization Team, ensuring informed decision-making and prioritization of efforts. You will work on refining business processes, developing data models, and creating visual reports that guide leadership in optimizing IT investments. Additionally, you will contribute to building a sustainable service model for technology rationalization, ensuring long-term efficiency and cost-effectiveness. Roles & Responsibilities: Develop and maintain data models to support the Technology Rationalization Team in optimizing IT assets. Design and create interactive dashboards and visual reports to communicate insights effectively. Ensure data accuracy, consistency, and integrity across multiple sources. Provide senior leadership with data-driven insights to prioritize IT rationalization efforts. Identify opportunities to improve data collection, processing, and reporting workflows. Support the implementation of best practices in data governance and management. Work closely with technology teams to provide data-backed recommendations for IT asset optimization. Assist in building a scalable and sustainable service model for technology rationalization. Functional Skills: Must-Have Skills (Not more than 3 to 4): Data Modeling & Management Strong ability to create, maintain, and optimize data models. Data Visualization Proficiency in tools like Power BI, Tableau, Excel, or similar platforms. Stakeholder Collaboration Experience working with cross-functional teams to align on data-driven priorities. Good-to-Have Skills: SQL & Database Knowledge Experience working with relational databases, querying data, and optimizing datasets. Business Process Analysis Ability to assess and refine business processes for efficiency. Data Storytelling Capability to translate complex data into actionable insights for leadership. Experience with ServiceNow, especially CMDB, Common Service Data Model (CSDM) and IT Service Management. Experience working in SAFe and/or Agile Teams. Experience with process development/engineering. Professional Certifications : SAFe for Teams certification (preferred) Basic Qualifications: Masters degree and 1 to 3 years of Information Security or IT OR Bachelors degree and 3 to 5 years of Information Security or IT OR Diploma and 7 to 9 years of Information Security or IT experience.

Role Description: This Sr Associate Business Analyst will play a pivotal role in optimizing our organizations technical environment through data modeling, visualization, and strategic analysis. This position will focus on designing and delivering data-driven insights to support the Technology Rationalization Team, ensuring informed decision-making and prioritization of efforts. You will work on refining business processes, developing data models, and creating visual reports that guide leadership in optimizing IT investments. Additionally, you will contribute to building a sustainable service model for technology rationalization, ensuring long-term efficiency and cost-effectiveness. Roles & Responsibilities: Develop and maintain data models to support the Technology Rationalization Team in optimizing IT assets. Design and create interactive dashboards and visual reports to communicate insights effectively. Ensure data accuracy, consistency, and integrity across multiple sources. Provide senior leadership with data-driven insights to prioritize IT rationalization efforts. Identify opportunities to improve data collection, processing, and reporting workflows. Support the implementation of best practices in data governance and management. Work closely with technology teams to provide data-backed recommendations for IT asset optimization. Assist in building a scalable and sustainable service model for technology rationalization. Functional Skills: Must-Have Skills (Not more than 3 to 4): Data Modeling & Management Strong ability to create, maintain, and optimize data models. Data Visualization Proficiency in tools like Power BI, Tableau, Excel, or similar platforms. Stakeholder Collaboration Experience working with cross-functional teams to align on data-driven priorities. Good-to-Have Skills: SQL & Database Knowledge Experience working with relational databases, querying data, and optimizing datasets. Business Process Analysis Ability to assess and refine business processes for efficiency. Data Storytelling Capability to translate complex data into actionable insights for leadership. Experience with ServiceNow, especially CMDB, Common Service Data Model (CSDM) and IT Service Management. Experience working in SAFe and/or Agile Teams. Experience with process development/engineering. Professional Certifications : SAFe for Teams certification (preferred) Soft Skills: Excellent analytical and troubleshooting skills. Strong verbal and written communication skills Able to work under minimal supervision Ability to work effectively with global, virtual teams High degree of initiative and self-motivation. Ability to manage multiple priorities successfully. Team-oriented, with a focus on achieving team goals Basic Qualifications: Masters degree and 1 to 3 years of Information Security or IT OR Bachelors degree and 3 to 5 years of Information Security or IT OR Diploma and 7 to 9 years of Information Security or IT experience.

Overview We are seeking an experienced Reporting GenAI Consultant with a strong background in developing AI-driven reporting solutions. This role focuses on building and integrating Generative AI capabilities into BI platforms to enable natural language insights, automated report generation, and interactive dialogue with data. The ideal candidate will have hands-on experience working with LLMs, prompt engineering, and modern data visualization tools. Responsibilities Design, develop, and deploy GenAI-based reporting solutions that generate insights summaries, dashboards, and narrative analytics using structured and unstructured data. Build natural language interfaces and conversational agents for querying data (Dialogue with Data), enabling users to interact with reports through plain English. Integrate GenAI features (like ChatGPT, Azure OpenAI, or Vertex AI) with enterprise BI platforms (Power BI, Tableau, Qlik, ThoughtSpot, etc.). Implement automated insight generation using LLMs to summarize trends, detect anomalies, and generate key takeaways. Collaborate with data engineering and BI teams to optimize data models and ensure clean, prompt-ready datasets. Design and fine-tune prompts and templates for contextual report summarization and storytelling . Conduct POCs and pilots to evaluate the feasibility and impact of GenAI-driven reporting use cases. Ensure solutions are secure, scalable, and compliant with enterprise governance policies. Qualifications 10+ years of experience in Business Intelligence / Analytics with 12 years in Generative AI implementations . Strong experience in Power BI with exposure to augmented analytics features. Experience working with LLMs (OpenAI, Azure OpenAI, Hugging Face, Google PaLM, etc.) for natural language understanding and summarization. Expertise in prompt engineering , few-shot learning, and custom summarization models. Good understanding of data storytelling , narrative generation , and auto-generated insights . Experience in integrating APIs for AI models into web or reporting tools. Familiarity with Python or JavaScript for model integration and backend logic. Excellent communication and stakeholder management skills. Preferred Qualifications: Experience with RAG (Retrieval-Augmented Generation) , LangChain , or similar frameworks. Exposure to voice-based analytics or speech-to-insight solutions. Knowledge of data governance, privacy (GDPR/CPRA) , and enterprise security standards . Familiarity with cloud platforms : Azure.

To work with internal and external stakeholders, to strategize, plan, budget estimate and implementations of the same. In particular, be responsible for Analysing of data, Data Mining,Root Cause analysis, process improvement. Were looking for someone with at least 5 years of experience in a position monitoring, managing, and drawing insights from data ACCOUNTABILITIES Developing and maintaining databases reorganizing data in a readable format Performing analysis and share findings to assess quality and data interpretation Using statistical tools to identify, analyse, and interpret patterns and trends in complex data sets that could be helpful for the diagnosis and prediction Assigning numerical value to essential business functions so that business performance can be assessed and compared over periods of time. Preparing reports for the management stating trends, patterns, and predictions using relevant data Preparing final analysis reports for the stakeholders and clients to understand the data-analysis steps, enabling them to take important decisions based on various facts and trends. Solution-oriented, responding to clients emails and queries based on the finding and data interpretation. Examine, interpret and report results of analytical initiatives to internal and external stakeholders in leadership, sales, marketing. Communicate results and business impacts of insight initiatives to stakeholders within and outside of the company. QUALIFICATION Graduate in any discipline Master degree will be an added Advantage Experience of minimum 4 years JOB KNOWLEDGE, SKILLS & EXPERIENCE Strong mathematical skills to help collect, measure, organize and analyse data Problem-solving & Analytical skills Accuracy and attention to detail Adept at queries, writing reports, making presentations and responding to client emails Team-working skills Verbal and Written communication skills Proven working experience in data analysis & data visualization KEY RELATIONSHIPS/ CUSTOMERS Internal teams Top management External stakeholders Notice period: 15 days- 1 month Skills : - Data Interpretation Data Analysis Business Intelligence Data Visualization Stakeholder Presentations Client Communication Analytics Reporting Data Insights Data Storytelling Data Presentation Reporting Decision Support Business Analytics Dashboard Creation Quantitative Analysis Data-driven Decision Making Advanced Excel/Power BI/Tableau Stakeholder Engagement Data Communication KPI Reporting Strategic Analysis Client-focused Analysis Cross-functional Collaboration Presentation Skills Technical Reporting Data Trends Analytical Thinking Client-facing Role Insights Generation Predictive Analytics

Job highlights Were looking for someone with at least 5 years of experience in a position monitoring,managing,and drawing insights from data. ACCOUNTABILITIES Graduate in any discipline Experience of minimum 4 years . JOB KNOWLEDGE,SKILLS & EXPERIENCE. Strong mathematical skills to help collect,measure,organize and analyse data Job match score Early Applicant Keyskills Location Work Experience Job description To work with internal and external stakeholders, to strategize, plan, budget estimate and implementations of the same. In particular, be responsible for Analysing of data, Data Mining,Root Cause analysis, process improvement. Were looking for someone with at least 5 years of experience in a position monitoring, managing, and drawing insights from data ACCOUNTABILITIES Developing and maintaining databases reorganizing data in a readable format Performing analysis and share findings to assess quality and data interpretation Using statistical tools to identify, analyse, and interpret patterns and trends in complex data sets that could be helpful for the diagnosis and prediction Assigning numerical value to essential business functions so that business performance can be assessed and compared over periods of time. Preparing reports for the management stating trends, patterns, and predictions using relevant data Preparing final analysis reports for the stakeholders and clients to understand the data-analysis steps, enabling them to take important decisions based on various facts and trends. Solution-oriented, responding to clients emails and queries based on the finding and data interpretation. Examine, interpret and report results of analytical initiatives to internal and external stakeholders in leadership, sales, marketing. Communicate results and business impacts of insight initiatives to stakeholders within and outside of the company. QUALIFICATION Graduate in any discipline Master degree will be an added Advantage Experience of minimum 4 years JOB KNOWLEDGE, SKILLS & EXPERIENCE Strong mathematical skills to help collect, measure, organize and analyse data Problem-solving & Analytical skills Accuracy and attention to detail Adept at queries, writing reports, making presentations and responding to client emails Team-working skills Verbal and Written communication skills Proven working experience in data analysis & data visualization KEY RELATIONSHIPS/ CUSTOMERS Internal teams Top management External stakeholders

Job highlights Were looking for someone with at least 5 years of experience in a position monitoring,managing,and drawing insights from data. ACCOUNTABILITIES Graduate in any discipline Experience of minimum 4 years . JOB KNOWLEDGE,SKILLS & EXPERIENCE. Strong mathematical skills to help collect,measure,organize and analyse data Job match score Early Applicant Keyskills Location Work Experience Job description To work with internal and external stakeholders, to strategize, plan, budget estimate and implementations of the same. In particular, be responsible for Analysing of data, Data Mining,Root Cause analysis, process improvement. Were looking for someone with at least 5 years of experience in a position monitoring, managing, and drawing insights from data ACCOUNTABILITIES Developing and maintaining databases reorganizing data in a readable format Performing analysis and share findings to assess quality and data interpretation Using statistical tools to identify, analyse, and interpret patterns and trends in complex data sets that could be helpful for the diagnosis and prediction Assigning numerical value to essential business functions so that business performance can be assessed and compared over periods of time. Preparing reports for the management stating trends, patterns, and predictions using relevant data Preparing final analysis reports for the stakeholders and clients to understand the data-analysis steps, enabling them to take important decisions based on various facts and trends. Solution-oriented, responding to clients emails and queries based on the finding and data interpretation. Examine, interpret and report results of analytical initiatives to internal and external stakeholders in leadership, sales, marketing. Communicate results and business impacts of insight initiatives to stakeholders within and outside of the company. QUALIFICATION Graduate in any discipline Master degree will be an added Advantage Experience of minimum 4 years JOB KNOWLEDGE, SKILLS & EXPERIENCE Strong mathematical skills to help collect, measure, organize and analyse data Problem-solving & Analytical skills Accuracy and attention to detail Adept at queries, writing reports, making presentations and responding to client emails Team-working skills Verbal and Written communication skills Proven working experience in data analysis & data visualization KEY RELATIONSHIPS/ CUSTOMERS Internal teams Top management External stakeholders Location : MUMBAI ALL AREAS, MUMBAI SUBURBS

We at VIAPROM are seeking a skilled and experienced Tableau Developer to join our team within 15-20 days in Bengaluru. Candidates who are based out of Bengaluru will be preferred. The ideal candidate should have a strong background in Visualization and data storytelling. Key Responsibilities: 1. Collaborate with business stakeholders to understand their data analysis and reporting requirements. 2. Design and develop interactive and visually appealing dashboards, reports, and data visualizations using Tableau Desktop. 3. Utilize Tableau's features, including calculated fields, parameters, data blending, and advanced analytics, to create insightful and actionable visualizations. 4. Transform complex data sets into intuitive visualizations that effectively communicate key insights and trends. 5. Work closely with data engineers to extract, transform, and load data from various sources into Tableau. 6. Optimize the performance and efficiency of Tableau dashboards and reports by implementing best practices and data optimization techniques. 7. Conduct data analysis to identify trends, patterns, and anomalies within the data. 8. Collaborate with cross-functional teams to integrate Tableau dashboards and visualizations into business applications or portals. 9. Stay up-to-date with the latest Tableau features, trends, and best practices to continually enhance data visualization capabilities. 10. Provide support and training to end-users on Tableau functionality and usage. Desired Candidate Skills: 1. Proven experience as a Tableau Developer with atleast 2 years of hands-on experience. 2. In-depth knowledge of Tableau Desktop and Tableau Server, including data preparation, visualization design, and dashboard development. 3. Strong understanding of data visualization best practices, data analysis, and data storytelling. 4. Proficiency in SQL and experience with data modeling and database design. 5. Ability to gather and translate business requirements into effective Tableau visualizations. 6. Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and stakeholders. Educational Qualifications 1. Bachelor's degree in Computer Science, Information Systems, Data Science, or a related field. 2. Candidates with Tableau Desktop and/or Tableau Server certification is preferable. 3. Familiarity with statistical analysis and data mining techniques. 4. Understanding of data governance and data security best practices.

Submit your application here : https://saarthee.keka.com/careers/jobdetails/8544 At Saarthee, we are on a mission to drive actionable insights and real-world impact through data. As a fast-growing, women-owned analytics consulting firm, we work with some of the most respected global clients, helping them solve high-impact problems through a combination of cutting-edge analytics, industry experience, and a culture of ownership and excellence. We are looking for Analytics Leads who can combine deep analytical thinking with strong project and people management skills. This is a client-facing role where youll lead complex, cross-functional data projects, work closely with global stakeholders, and act as the bridge between business strategy and data execution. The ideal candidate is hands-on, analytical, solutions-oriented, and equally comfortable managing technical teams, engaging with clients, and driving results. You will be working closely with the Founders and leadership across Saarthee's Onsite and Offshore teams, ensuring high-quality delivery and client success. Key Responsibilities Independently lead client engagements and manage global analytics delivery teams across time zones. Build and maintain strong client relationships, acting as a strategic advisor to institutionalize data-driven decision-making. Identify opportunities to create business impact through data and drive end-to-end project execution. Use project management tools to lead stakeholder discussions, track deliverables, manage risks, and ensure timely outcomes. Deliver high-quality analytics solutions including data modeling, insights generation, and actionable recommendations aligned to client KPIs. Design and implement robust analytics and reporting platforms, including tool selection (ETL, database, visualization). Consult on advanced statistical models and machine learning strategies where applicable. Guide, mentor, and grow a team of consultants; lead knowledge sharing and capability-building initiatives. Collaborate closely with internal teams for smooth project ramp-ups, analyst deployment, and quality assurance. Required Skills & Qualifications 3+ years of hands-on experience in data analytics, project management, or client engagement roles. Strong analytical background with proficiency in SQL, Tableau, Python, or similar tools. (Experience with Knime is a plus). Proven experience leading pilot projects, managing multiple workstreams, and solving open-ended business problems. Excellent communication, stakeholder management, and critical thinking skills. Ability to operate in fast-paced, ambiguous environments and deliver high-quality outcomes independently and as a team leader. What We Offer Competitive compensation packages that reward performance and ownership. Accelerated career growth in a startup environment backed by structured mentorship and leadership exposure. A collaborative and high-performance culture built on trust, empathy, and results. Exposure to global clients and strategic business challenges across industries. Comprehensive health insurance and wellness benefits. An inclusive, people-first workplace that values continuous learning, innovation, and transparency. About Saarthee: Saarthee is global analytics consulting firm unlike any other, where our passion for helping others fuels our approach and our products and solutions. We are a one-stop shop for all things data and analytics. Unlike other analytics consulting firms that are technology or platform specific, Saarthees holistic and tool agnostic approach along with ability delivery strategic actionable insights is unique in the marketplace. Our Analytics Value Chain framework meets our customers where they are in their data journey. Our diverse and global team of skilled data engineers, data analysts, and data scientists work with one objective in mind: Our Customers Success. At Saarthee, we are passionate about guiding organizations towards insights-fueled success. Thats why we call ourselves Saartheeinspired by the Sanskrit word Saarthi, which means charioteer, trusted guide, or companion. Co-founded in 2015 by Mrinal Prasad and Shikha Miglani, Saarthee already encompasses all the components of Data Analytics consulting. Saarthee is based out of Philadelphia, USA with office in UK and India. At Saarthee, we dont just solve data problems we shape careers, unlock business value, and build future-ready leaders. If you are ready to lead from the front and make an impact, wed love to hear from you.