10 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.

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.

This role requires attention to detail, organization, and analytical skills as well as creatively determining approaches to analyze data and to drive meaningful conclusion out of it. This role is one where influence and an ability to function independently are critical. This role must navigate successfully between the interests of our stakeholder groups and the delivery of a net business benefit at the same time. Key Responsibilities: Need to have a robust mix of technical and communication skills (verbal & written), with a passion for optimization, automation, data storytelling, and data visualization. Continuous Learning and Improvement:Stay up to date with industry trends, new technologies, and standard processes in data analysis and data science. Share knowledge and insights with team members to foster a culture of continuous learning and improvement. Actively participate in multi-functional initiatives, collaborating with team members to measure project success. Review on-boarding Materials, Operations Handbook and Program Handbook. Review Integrated Master Schedule provided. Create consolidated project status reporting and review project status and identify issues. Manage relationships with stakeholder groups and work with key individuals. Requires low level of instruction on daily work tasks and detailed instructions on new assignments. Individual contributor as a part of a team, with a focused scope of work within OA&EP team. Required Skills: The person in this role will need strong skills and experience in: Technical Skills:Must have proficiency with Microsoft Power BI, Python for data analysis and munging. Experience working with Google Cloud Platform (GCP) is a plus. Excellent working knowledge of MS PowerPoint, Word, Excel. Good background in data modelling and visualization including creation of dashboards. Should be a fast learner and be able to transform himself/herself into a functional or domain expert. Strong analytical mind and inclination for problem-solving with shown attention to detail combined with big picture thinking Ability to present and tailor details and information to various levels of an organization. Completes work independently with general mentorship on new projects/requirements. Work well with peers, and superiors in all workstreams/verticals across the organization. Qualifications 2-8 years + experience in Data Analytics, proficiency with Microsoft Power BI, Python for data analysis with a 2+ years of data visualization experience. Prior experience of working with Accenture processes is preferred.

Entity :- Accenture Strategy & Consulting Team :- Applied Intelligence, Accenture Strategy & Consulting Practice :- CG&S Title :- I&F Decision Science Visualization Job location :- Bengaluru About S&C - Global Network :- At Accenture Strategy & Consulting Global Network " we aim at deep industry expertise , advanced analytics capabilities and human-led " design methodologies that enable clients to act with speed and confidence. We thrive by integrating human ingenuity with intelligent technology to address businesses' most complex problems. With a team of 3,000+ Data Scientists, we leverage robotic process automation, content analytics, predictive analytic models, and cognitive services to help clients drive their growth and transformation agenda. We are looking for a highly motivated and passionate Industry experts to join Accenture's Global Strategy & Consulting Network. The vision S&CG is to offer tailored solutions to meet the diverse needs of clients across various industries . Our commitment to thought leadership, innovation, and client-centricity ensures that we deliver value-added services that help clients navigate complex business landscapes and achieve their strategic objectives . Through collaboration, knowledge sharing, and talent development initiatives, we empower our professionals to continuously innovate, grow, and deliver excellence to clients. WHAT'S IN IT FOR YOU? Accenture will continually invest in your learning and growth. Youll work with Accenture's certified Data & AI practitioners, and Accenture will support you in growing your own tech stack and certifications. You'll be part of a diverse, vibrant, global Accenture Data & AI community, continually pushing the boundaries of business capabilities . What you would do in this role We are seeking a skilled and experienced Visualization & Interactions Science Consultant to join our team. The ideal candidate should have a strong background in data visualization, human-computer interaction, and user experience design, with a passion for leveraging data-driven insights to create impactful visualizations and interactive experiences for business. Responsibilities: Collaborate with CG&S clients and stakeholders to understand business requirements and user needs and translate them into effective user journey with impactful visualization and interaction design solutions. Provide consultation and guidance to internal stakeholders on visualization and interaction design principles, tools, and techniques. Run codesign sessions and develop interactive data visualizations and dashboards using industry-leading tools and technologies, such as Power BI, Tableau, Qlik, PowerApps, Power Automate, React JS, Djs etc Conduct user research, usability testing, and user feedback analysis to iteratively improve the usability and effectiveness of visualization products. Apply principles of data storytelling and narrative visualization to create compelling and informative data-driven stories. Stay abreast of emerging trends and best practices in data visualization, human-computer interaction, and user experience design, and share insights and recommendations with the team. Collaborate with data scientists, analysts, and engineers to integrate visualizations into data-driven applications and products. Contribute to thought leadership and knowledge sharing initiatives within the organization, such as blog posts, whitepapers, and presentations. Qualifications Who we are looking for? Minimum of 3 to 7 years of experience in data visualization, interaction design, or related roles, with a strong portfolio showcasing relevant projects and accomplishments. The candidate should be e xperience d in dealing with CG&S data (Nielsen, EPOS, IRI, Kantar, Euromonitor, Manufacturer or retailer P&L - financial s , SAP, Sales & operations, Demographics, Trade promotion planner et c. ) & functions ( such as Customer Experience, Marketing and Promotions, Store Planning, Supply Chain and Logistics, and trade promotions , salesforce etc. ) driven through AI. Proficiency in Visual storytelling with BI & Visualization Tools (Tableau, Spotfire, Power BI, Cognos, Business Objects etc. ). Advanced Excel skills including VBA and PowerPoint skills. Consulting skills experience preferred. Excellent communication and collaboration skills, with the ability to effectively communicate complex concepts and insights to diverse audiences. Experience working in an agile environment and collaborating with cross-functional teams. Experience and exposure to developing cloud solutions on AWS, GCP, or Azure. Proficiency in data visualization tools such as Power BI, Tableau, Qlik, PowerApps, Power Automate, React JS, Advanced Excel, and PowerPoint. A Statistics/Mathematics degree or MBA from a premier Business -school is a plus. Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, or any other basis as protected by applicable law .

Department : Market Innovation Level - Senior position Expertise in supervised, unsupervised, machine learning, deep learning, reinforcement learning, statistics techniques. Proficiency in Python, PyTorch, TensorFlow. Good to have knowledge of Bayesian inference, probability distribution, hypothesis testing, A/B testing, and time series forecasting. Hands-on experience with feature engineering and hyperparameter tuning. Experience with MLflow, Weights & Biases, DVC (Data Version Control). Ability to track model performance across multiple experiments and datasets. End-to-end ML lifecycle management from Data ingestion, preprocessing, feature engineering, model training, deployment, and monitoring. Expertise in CI/CD for ML, containerization (Docker, Kubernetes), and orchestration (Kubeflow). Good to have experience in automating data labelling and feature stores (Feast). Good to have data processing experience in Spark, Flink, Druid, Nifi. Good to have real-time data streaming in Kafka and other messaging systems Designing and optimizing data pipelines for structured data. Good to have hands-on experience with Pyspark. Strong SQL skills for data extraction, transformation, and query optimization. Atleast one database experience such as NOSQL database. Implementing parallel and distributed ML techniques for large-scale systems. Good to have knowledge of model explainability (SHAP, LIME), bias mitigation, and adversarial robustness. Experience in model drift monitoring. Good to have CUDA for GPU acceleration. Good to have choosing between CPU/GPU for different ML workloads (batch inference on CPU, training on GPU). Good to have scaling deep learning models on multi-GPU. Strong presentation skills, including data storytelling, visualization (Matplotlib, Seaborn, Superset), and report writing. Experience in mentoring data scientists, research associates, and data engineers. Contributions to research papers, patents, or open-source projects.