76 Data Storytelling Jobs - Page 3

As a GenAI Data Scientist at PwC US - Acceleration Center, you will be responsible for developing and implementing machine learning models and algorithms for GenAI projects. Your role will involve collaborating with product, engineering, and domain experts to identify high-impact opportunities, designing and building GenAI and Agentic AI solutions, processing structured and unstructured data for LLM workflows, validating and evaluating models, containerizing and deploying production workloads, communicating findings via various mediums, and staying updated with GenAI advancements. You should possess a Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field, along with 1-2 years of hands-on experience delivering GenAI solutions and 3-5 years of deploying machine learning solutions in production environments. Proficiency in Python, experience with vector stores and search technologies, familiarity with LLM-backed agent frameworks, expertise in data preprocessing and feature engineering, competence with cloud services, solid grasp of Git workflows and CI/CD pipelines, and proficiency in data visualization are essential requirements. Additionally, having relevant certifications in GenAI tools, hands-on experience with leading agent orchestration platforms, expertise in chatbot design, practical knowledge of ML/DL frameworks, and proficiency in object-oriented programming with languages like Java, C++, or C# are considered as nice-to-have skills. The ideal candidate should possess strong problem-solving skills, a collaborative mindset, and the ability to thrive in a fast-paced environment. If you are passionate about leveraging data to drive insights and make informed business decisions, this role offers an exciting opportunity to contribute to cutting-edge GenAI projects and drive innovation in the field of data science.,

Key Skills: Statistics, SQL, Python, A/B Testing, Hypothesis Testing, Regression, Product Analytics, Data Visualization (UDP, Power BI), Stakeholder Management, Business Metrics, Data Automation, Dashboarding, Data Storytelling, Data Governance. Roles & Responsibilities: Manage large datasets, lead quantitative analyses, and deliver strategic insights. Build and deploy statistical models, including hypothesis testing, A/B testing, product experimentation, and regressions. Optimize e-commerce funnels, retention strategies, and key performance metrics. Define, evaluate, and refine business and product metrics to guide optimization and innovation. Design and deliver executive-level dashboards and reporting solutions using tools like UDP and Power BI. Collaborate with cross-functional teams, managing stakeholder expectations and aligning teams with business goals. Apply advanced analytics techniques and adopt innovative problem-solving approaches in dynamic environments. Drive automation of data pipelines and processes to improve scalability and efficiency. Interpret complex data sets and present findings to both technical and non-technical stakeholders in a clear and actionable manner. Mentor junior analysts, promoting best practices in data analysis and storytelling. Contribute to the development of data governance standards and ensure data quality across projects. Experience Required: 5-7 years of hands-on experience in advanced analytics, statistical modeling, and data-driven decision making. Proven experience in building scalable data workflows and automation solutions. Strong track record of influencing product and business strategy through deep analytical insights. Experience working closely with product, marketing, and engineering teams to define KPIs and measure success. Education: B.E., B.Tech.

Zinnia is the leading technology platform for accelerating life and annuities growth. With innovative enterprise solutions and data insights, Zinnia simplifies the experience of buying, selling, and administering insurance products. All of which enables more people to protect their financial futures. Zinnia has over $180 billion in assets under administration, serves 100+ carrier clients, 2500 distributors and partners, and over 2 million policyholders. As a highly motivated Senior Data Analyst, you will be responsible for independently owning and driving analytics initiatives within the Operations team. Your role will involve translating data into actionable insights that enhance efficiency, decision-making, and key business Key Performance Indicators (KPIs). You will collaborate with stakeholders from Operations, Product, Data Engineering, and Business Strategy to identify opportunities for process optimization, automate decision-making, and establish scalable analytics frameworks. This high-impact role demands deep analytical skills and the ability to influence business strategy through data-driven insights. Your responsibilities will include driving analytics strategy by identifying areas for efficiency improvements and cost optimization within Operations, utilizing advanced analytics techniques such as inferential modeling, causal analysis, and experimental design to generate actionable insights, designing and implementing A/B tests to optimize key processes, developing frameworks to measure operational KPIs and business impact, translating complex data insights into clear recommendations using data storytelling and visualization tools, collaborating cross-functionally to align analytics initiatives with business needs, enhancing scalability and automation efforts to improve efficiency, and promoting data analysis best practices while mentoring junior analysts. To be successful in this role, you should possess 5+ years of experience in data analytics with a focus on Operations, Business Strategy, or Process Optimization. Expertise in SQL, Python, and working with relational cloud databases and unstructured datasets is essential. You should have experience designing A/B tests, strong statistical knowledge, experience in operations analytics, proficiency in data visualization tools, the ability to work independently and influence business decisions through data-driven recommendations, strong problem-solving skills, and a proactive mindset to identify business opportunities using data. Bonus points if you have experience with ML/AI applications in operational efficiency, familiarity with event-tracking frameworks and behavioral analytics, strong data storytelling skills, and prior experience in a fast-paced, high-growth environment with a focus on scaling data analytics.,

The position of Visualization & Interactions Science Consultant at S&C Global Network - AI - CG&S requires a skilled individual with a background in data visualization, human-computer interaction, and user experience design. As part of the team, you will be responsible for collaborating with CG&S clients and stakeholders to understand business requirements and translate them into impactful visualization and interaction design solutions. Your role will also involve providing consultation on visualization and interaction design principles, running codesign sessions, developing interactive data visualizations and dashboards, and conducting user research and usability testing to enhance the usability and effectiveness of visualization products. In this role, you will be expected to apply principles of data storytelling and narrative visualization to create compelling and informative data-driven stories. You will also be required to stay updated on emerging trends and best practices in data visualization, human-computer interaction, and user experience design, and share your insights with the team. Collaboration with data scientists, analysts, and engineers to integrate visualizations into data-driven applications and products is also a key aspect of the position. To excel in this role, you should possess relevant experience in the required domain, strong analytical and problem-solving skills, as well as effective communication skills. The ability to thrive in a fast-paced, dynamic environment is essential for success in this position. This opportunity offers the chance to work on innovative projects and provides avenues for career growth and leadership exposure. If you are passionate about leveraging data-driven insights to create impactful visualizations and interactive experiences for businesses, this role presents an exciting opportunity to contribute to strategic initiatives and business transformations with your expertise in visualization and interaction design.,

We are looking for a visionary and highly experienced Director of End User Computing (EUC) to spearhead the global EUC strategy, delivery, and innovation within our enterprise. You must possess in-depth knowledge in analytics-driven EUC operations, large-scale endpoint management, digital workplace transformation, and engaging stakeholders at the C-suite level. The ideal candidate will have more than two decades of progressive experience in EUC, showcasing a proven track record of leading global teams, revolutionizing workplace technologies, and utilizing data-driven insights to elevate user experience, security, and productivity. Your responsibilities will include defining and implementing the global EUC strategy in alignment with business objectives and IT transformation goals. You will be tasked with modernizing digital workplace technologies such as M365, VDI, device lifecycle, endpoint security, and mobility. Additionally, driving initiatives to standardize and automate EUC services across various regions and business units will be crucial. Establishing governance for EUC policies, compliance, and SLA/KPI metrics is also part of your role. You will be responsible for developing and spearheading end-to-end EUC analytics programs to enhance performance, user behavior, incident patterns, and service quality. Leveraging telemetry and real-time data for proactive support, predictive maintenance, and digital experience management (DEX) will be essential. Utilizing tools like Nexthink, Lakeside, SysTrack, or Microsoft Endpoint Analytics to create dashboards and gain insights is also a part of your job. Overseeing the delivery of EUC services, including Service Desk, Desktop Support, VDI, Collaboration Tools, and Mobile Device Management (MDM), will fall under your purview. Managing partnerships with global MSPs, hardware vendors, and software providers, defining global operational models (ITIL-based), and ensuring high service reliability and cost efficiency will be critical. Collaborating with InfoSec to enforce endpoint security policies and Zero Trust principles, ensuring compliance with global regulations (GDPR, HIPAA, ISO 27001, etc.), and leading vulnerability management, patch compliance, and secure device onboarding are also part of your responsibilities. You will manage and mentor global EUC teams across different time zones, cultivate a culture of innovation, accountability, and continuous improvement, and enhance employee satisfaction through digital experience improvements. The ideal candidate should have over 20 years of experience in IT infrastructure, with at least 10 years in EUC leadership roles. Deep expertise in M365, Intune, SCCM, Azure AD, Windows 10/11 lifecycle management, Virtual Desktop (Citrix, Azure Virtual Desktop, VMware Horizon), Endpoint Analytics, and Digital Experience Monitoring is required. Proven experience in managing global organizations with 5,000+ users, expertise in EUC analytics, data storytelling, continuous improvement programs, budget ownership, vendor management, and relevant certifications such as ITIL, PMP are preferred. Strong interpersonal skills, executive communication abilities, and cross-cultural leadership skills are essential for this role.,

As a Data Scientist at WAC, you will play a crucial role in transforming intricate data into actionable insights that drive business strategies and foster innovation. Your primary responsibility will involve collaborating with diverse teams to create and implement data science solutions that align with our business objectives. Your tasks will include data exploration, where you will gather, cleanse, and preprocess data from a variety of sources to ensure its quality and reliability. Leveraging advanced statistical and machine learning techniques, you will conduct in-depth analyses to derive meaningful insights. Additionally, you will be responsible for developing, refining, and optimizing predictive models that tackle specific business challenges and opportunities. Creating visually engaging reports and dashboards to present findings to technical and non-technical stakeholders will be a key aspect of your role. You will also be involved in formulating and testing hypotheses, as well as designing and executing A/B tests to evaluate the impact of changes and enhancements. Your ability to communicate complex technical findings in a clear and understandable manner will be vital in supporting decision-makers. Collaboration will be integral to your work, as you will liaise with teams across the organization to grasp business goals and provide data-driven insights and recommendations. Continuous learning is encouraged, and staying abreast of the latest trends in data science, machine learning, and analytics will enable you to apply cutting-edge techniques and tools effectively. To qualify for this role, you should hold a Master's or Ph.D. degree in a relevant field such as Data Science, Statistics, Computer Science, or related disciplines. With a minimum of 4 years of experience in a Data Scientist or similar position, you must demonstrate proficiency in data analysis tools and languages like Python or R. A strong grasp of machine learning techniques and libraries, coupled with familiarity with data visualization tools such as Tableau or Power BI, is essential. Your problem-solving abilities, critical thinking skills, and aptitude for effective communication, especially in simplifying complex technical concepts for non-technical stakeholders, will be crucial. An understanding of data ethics and the responsible use of data is also expected from potential candidates. Thank you for your interest in joining Webandcrafts. We eagerly anticipate delving deeper into your application to assess your suitability for this role.,

Abhinandan Ventures is a collective of high-growth new-age businesses that support ambitious ideas to create disruptive businesses. The company provides patient capital for value creation and fosters a culture of performance-driven leadership. They specialize in cultivating consumer-centric brands at the forefront of innovation, shaping industries with sound business practices. The House of Abhinandan Lodha, a consumer tech brand under Abhinandan Ventures, disrupts traditional land ownership by leveraging technology to make land more accessible, flexible, and secure. Their mission is to create intergenerational wealth for consumers by reinventing the land buying process and promoting sustainable development practices. As part of the corporate philosophy, The House of Abhinandan Lodha emphasizes transparency, sustainability, and social responsibility in all dealings. They use technology to digitize land ownership, simplify investments, and enhance lifestyle amenities, aiming to make land ownership a younger, nimbler, and more viable asset for all. The role of a Performance Enhancement Lead at The House of Abhinandan Lodha involves driving data-driven marketing transformation by integrating MarTech capabilities with robust data analytics. The selected candidate will be responsible for managing the marketing technology stack, enhancing marketing efficiency, and leveraging data insights to drive growth, customer engagement, and ROI. Key Responsibilities: - Define and lead the integrated MarTech and data analytics roadmap aligned with business goals - Drive performance marketing efficiency by integrating Salesforce platforms and tools - Implement and optimize Salesforce Marketing Cloud and Salesforce Data Cloud - Develop and manage marketing automation frameworks using CRM and customer data platforms - Utilize analytics tools like Tableau and Google Analytics for actionable insights - Implement predictive analytics for lead scoring, customer segmentation, and churn prediction - Oversee personalization engines, recommendation systems, and ML models - Ensure seamless integration of AdTech, CMS, and DXP platforms for unified marketing operations - Collaborate with cross-functional teams for data-driven marketing strategy - Monitor and report on marketing performance metrics, leading performance enhancement initiatives Key Requirements: - 8-12 years of experience in MarTech, CRM, and Data Analytics roles - Expertise in Salesforce Marketing Cloud, Salesforce Data Cloud, and CDP platforms - Hands-on knowledge of marketing automation, web analytics, Tableau, and data storytelling - Experience with ML models in marketing contexts and understanding of AdTech integrations - Ability to drive measurable outcomes through partnership with business and tech teams Key Attributes: - Strategic and analytical thinker with strong execution capability - Ownership and ability to work across functions in a fast-paced environment - Excellent communication and stakeholder management skills - Passion for marketing innovation and data-driven growth The Performance Enhancement Lead at The House of Abhinandan Lodha plays a crucial role in driving marketing transformation and accelerating business growth through technology and data-driven strategies.,

As a Strategic Advisor in HR Analytics at Ameriprise India LLP, you will serve as a key consultant to senior HR and business leaders, utilizing data-driven insights to influence workforce planning, talent strategies, and organizational effectiveness. Your role will involve leading data management efforts, ensuring adherence to data privacy and security protocols, and safeguarding sensitive data. Additionally, you will be responsible for supporting various incoming requests, such as research, analysis of business needs, problem-solving, issue tracking, and resolution, as well as executing HR initiatives to promote data-based decision-making among HR and business clients. Your primary responsibilities will include delivering products by generating detailed reporting and analytics using multiple systems in response to requests from business leaders or HR staff. You will collaborate with requesters to validate business needs, clarify requirements, and facilitate data-driven decisions. Furthermore, you will identify data sources, develop and test queries, verify data quality for accuracy, and deliver outputs within specified timelines. Ensuring the approval process is followed and maintaining data privacy through security protocols will also be part of your role. Operational efficiency will be a key focus, where you will translate reporting requirements into impactful dashboards and reports that facilitate information sharing across the organization. Additionally, you will identify opportunities to streamline processes, enhance reporting efficiencies, and act as a subject matter expert for HR data and reporting. Supporting HR-related projects, identifying key issues, collaborating on problem-solving, and escalating critical matters as needed will be essential to drive organizational support and change. You will be responsible for data management and governance by identifying data integrity issues, defining audit procedures, designing audit queries, performing scheduled audits, and analyzing employee data within HRMS. Any identified data or system issues will be escalated for resolution, and you will independently troubleshoot and research system challenges using statistical programming and data visualization software as required. As a people leader, you will provide systems, programs, training, and guidance for the development of team members, mentoring them on technical and communication skills. Sharing best practices and key learnings within the Human Capital Insights function, acting as a liaison across teams, HR Business Partners, and HR COEs, and offering leadership on cross-functional projects will be vital aspects of your role. To qualify for this position, you should have a minimum of 7 years of experience in HR analytics with a proven track record in strategic consulting. Proficiency in Workday HCM, advanced analytics techniques using tools like Python, R, or SQL, and experience with data visualization platforms such as Power BI or Tableau are essential requirements. Strong analytical, problem-solving, and data storytelling skills, along with the ability to manage multiple priorities while ensuring high-quality work, are also necessary for this role. A strong willingness to learn new concepts, ideas, and skills is highly valued. Preferred qualifications include certification in Workday Reporting or Workday Pro, as well as knowledge of regulatory reporting and GDPR guidelines. Join Ameriprise India LLP, a U.S.-based financial planning company, and be part of a collaborative and inclusive culture that rewards contributions and promotes personal and professional growth. Make a difference in the community while working with talented individuals who share your passion for excellence. If you are driven, talented, and seeking a fulfilling career with a company that prioritizes ethics and employee well-being, take the next step and build your career at Ameriprise India LLP.,

Sony Pictures Networks India is seeking a smart, driven, and experienced Product Analyst for their Digital Business. As the Incumbent, your primary responsibility will be enabling data-driven decision-making across the organization to ensure that data is transformed into actionable insights that support business strategies and optimize operations. You will need to possess deep technical skills to complement your analytical experience. The ideal candidate will be scrappy, independent, action-oriented, and excited about building data insights to influence product priorities. The key responsibilities of this role include: - Collaborating with stakeholders to understand their strategic goals and identifying areas where data-driven insights can drive business value. - Working with business stakeholders to understand their analytical requirements and deliver data-driven insights that support decision-making and operational improvements. - Driving efforts towards maximizing viewership on SonyLIV and ensuring profitability from advertisement business. - Creating and monitoring interactive and automated dashboards to democratize data access within the team. - Collaborating with the data engineering team to ensure reliable and accessible data management. - Effectively communicating complex analytical findings in a clear manner to facilitate data-driven discussions. As a Product Analyst, you are expected to possess certain behavioral competencies such as problem-solving ability, the vision to see the big picture, excellent prioritization skills, passion for results and excellence, as well as an inquisitive and analytical mind to bring a creative perspective to business problems. In terms of technical competencies, you should be proficient in writing complex SQL queries, data wrangling through python or R, working on basic Machine Learning algorithms, possessing strong data storytelling skills, and having experience with at least one BI tool such as Tableau, PowerBI, Looker, or Mixpanel. Joining Sony Pictures Networks offers the opportunity to work with leading entertainment channels and the promising streaming platform, Sony LIV. The organization focuses on creating an inclusive and equitable workplace that celebrates diversity with the "Bring Your Own Self Philosophy". Recognized as one of India's Best Companies to Work For in 2021 by the Great Place to Work Institute, the company offers a progressive and digitally led content powerhouse environment. The inclusive workplace has been awarded multiple accolades for gender equality, HR excellence, learning culture, and diversity & inclusion initiatives. If you are looking to be part of a dynamic team that thrives on telling stories beyond the ordinary, Sony Pictures Networks could be the ideal place for you to grow and excel in your career.,

The Financial Planning and Analysis Lead Analyst role at Citi is a senior position that involves providing management with analysis and insights into the company's financial results in collaboration with the broader Finance team. Your main goal will be to contribute to the directional strategy and offer specialized advice on the evaluation of Citis current and projected financial performance. Your responsibilities will include creating financial reports, summarizing financial trends for senior management, advising on directional strategy and significant business decisions, analyzing annual 3-year Strategic/Operating Plans, CCAR PPNR forecasts, mid-year reforecasts, and bi-monthly outlooks in partnership with other FP&A teams, preparing analytics for CEO Reviews, analyzing product profitability, developing relationships with key partners and senior management, preparing presentations for the CFO team, operating with a limited level of direct supervision, exercising independence of judgment and autonomy, acting as a subject matter expert to senior stakeholders and team members, and assessing risks when making business decisions while adhering to compliance and regulatory requirements. To qualify for this role, you should have 6-10 years of relevant experience, proficient computer skills with a focus on Microsoft Office applications, effective verbal and written communication skills, demonstrated presentation skills, and the ability to clearly communicate both in writing and verbally. A Bachelors degree/University degree or equivalent experience is required, while a Masters degree is preferred. Please note that this job description provides a high-level overview of the work performed, and other job-related duties may be assigned as necessary. Skills that are most relevant for this role include Budgeting, Business Acumen, Constructive Debate, Data Storytelling, Management Reporting, Problem Solving, Risk Management, and Stakeholder Management. For additional relevant skills, refer to the information provided above or contact the recruiter. If you require a reasonable accommodation due to a disability to use our search tools or apply for a career opportunity, please review Accessibility at Citi. You can also view Citis EEO Policy Statement and the Know Your Rights poster for further information.,

You are a Product Data Visualization Analyst with over 3 years of experience in data visualization and dashboard development. Your main responsibility will be to design and develop interactive and visually engaging Tableau dashboards to provide valuable insights to support business decision-making. You must have a strong understanding of data storytelling, interactive visualizations, and dashboard performance optimization. Your key responsibilities will include developing user-friendly dashboards in Tableau, applying best practices in data visualization, optimizing dashboard performance, working with multiple data sources, using advanced Tableau calculations for analytical insights, collaborating with various teams to understand requirements, ensuring data quality and governance, automating reports and alerts, providing training to end users, and documenting dashboard usage. To excel in this role, you must possess a Bachelor's degree in Computer Science, Data Analytics, Statistics, Business Intelligence, or a related field. Additionally, you should have at least 3 years of hands-on experience in Tableau development and data visualization, familiarity with Tableau Prep, cloud-based data sources, Python or R for data analysis, SQL knowledge, data storytelling skills, and attention to detail. Moreover, you should have knowledge of Tableau Server administration, problem-solving skills, and excellent communication skills to effectively interact with business stakeholders. Your ability to translate business requirements into impactful dashboards and your focus on data accuracy, visualization consistency, and UI design principles will be crucial for success in this role.,

As a Product Analyst in the Digital Business team at Sony Pictures Networks India, you will play a crucial role in enabling data-driven decision-making throughout the organization. Your primary responsibility will be to transform data into actionable insights that support business strategies and optimize operations. The ideal candidate for this position will possess deep technical skills along with analytical experience. You should be scrappy, independent, action-oriented, and enthusiastic about leveraging data insights to influence product priorities. To qualify for this role, you should hold a Bachelor's or Master's degree in Engineering, Statistics, Operational Research, Computer Science, Mathematics, or equivalent training. Additionally, you should have at least 6 years of experience in a data analytics role, with prior experience in the OTT or media industry being a bonus. Your key responsibilities will include collaborating with stakeholders to understand strategic goals and leveraging data-driven insights to drive business value. You will work closely with business stakeholders to fulfill their analytical requirements and deliver insights that support decision-making and operational enhancements. Moreover, you will focus on maximizing viewership on SonyLIV and ensuring profitability from the advertisement business. You will also be responsible for creating a data and consumer-driven culture by developing interactive dashboards and ensuring effective data management in collaboration with the data engineering team. As a Product Analyst, you will need to effectively communicate complex analytical findings in a clear and understandable manner, facilitating data-driven discussions and ensuring that insights are utilized to inform business strategies. You should possess problem-solving abilities, strategic thinking, prioritization skills, and a passion for results and excellence while collaborating with cross-functional teams. In terms of technical competencies, you should be proficient in writing complex SQL queries, data wrangling through Python or R, working with basic Machine Learning algorithms, and utilizing BI tools such as Tableau, PowerBI, Looker, or Mixpanel. Your ability to comprehend business problems and communicate insights effectively will be crucial in this role. Joining Sony Pictures Networks will give you the opportunity to work with leading entertainment channels in India and contribute to the growth of the organization in the OTT space. You will be part of an inclusive and equitable workplace that celebrates diversity and values individual contributions. Sony Pictures Networks has been recognized as one of the best companies to work for, emphasizing its commitment to excellence, diversity, and inclusivity. If you are someone who thrives on telling stories beyond the ordinary and is eager to contribute to a progressive digitally led content powerhouse, then this role at Sony Pictures Networks India is the perfect fit for you.,

Job Title: Data Analyst Power BI & Python (with Data Quality & Storytelling Expertise) Experience: 3 to 6 Years Location: Chennai / Hybrid Employment Type: Full-Time Role: Data Analyst / Business Intelligence Specialist Job Description: We are looking for a highly motivated and skilled Data Analyst with hands-on experience in Power BI, Python, and SQL . The ideal candidate should be proficient in data storytelling, capable of identifying functional/data gaps, and transforming raw data into actionable insights for stakeholders across business and technology. Key Responsibilities: Analyze large datasets to identify data quality issues and functional gaps Conduct discussions with stakeholders to present insights and gaps effectively Leverage Power BI to build intuitive dashboards and create visual data narratives Use Python for data preparation and transformation supporting Power BI models Work closely with business/data providers to guide correct dataset sourcing Develop test cases and record them in test management platforms as required Prepare status reports and contribute to project documentation, KT, and team backups Required Technical Skills: Skill AreaTools / TechnologiesBI & DashboardsPower BI (Power Query, DAX, M Query)Data AnalysisPython (Pandas, NumPy), SQLData ModellingRelational models, ETL pipelinesVisualizationData storytelling with charts, graphsAgile PracticesDaily reporting, cross-functional collaborationBonus SkillsPrompt Engineering / Gen AI awareness Behavioral & Transversal Competencies: Strong communication (oral & written) Creativity and analytical problem solving Results-driven and self-managed attitude Strong collaboration and teamwork spirit Comfortable managing meetings, KPIs, documentation Educational Qualification: Bachelors degree in Computer Applications / Engineering / MCA Minimum 3 years of relevant experience in Data Analysis & BI Reporting If anyone interested please share your updated resume below Email muthukrishnan.saminathan@kiya.ai 6369929072

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.

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.

Responsibilities: Collect, process, and analyze large datasets from multiple sources. Develop dashboards and reports using Power BI , Tableau , or similar tools. Write and optimize SQL queries for data extraction and analysis. Identify trends, patterns, and correlations in complex data sets. Collaborate with business teams to define KPIs and metrics. Prepare visualizations and presentations for stakeholders. Ensure data quality, accuracy, and integrity. Required Skills: Strong knowledge of SQL and relational databases. Hands-on experience with Power BI , Tableau , or other BI tools. Proficiency in Excel (advanced formulas, pivot tables, charts). Familiarity with Python/R for data analysis (preferred). Strong analytical and problem-solving skills. Good communication and presentation skills.

About the Role: We are looking for a creative and detail-oriented Tableau UI/UX Designer to join our Data & Analytics team. This role is perfect for someone who excels in data storytelling, user-centered design, and building intuitive dashboards that enhance business decision-making. Key Responsibilities: Design user-centric Tableau dashboards based on business needs and workflows Apply UX principles to enhance layout, navigation, and interactivity Collaborate with stakeholders, analysts, and data engineers to define dashboard functionality Standardize themes, templates, and UI components across dashboards Conduct user research and usability testing; iterate based on feedback Promote best practices in data visualization, accessibility, and performance Create documentation and style guides for consistent BI design Train and support end-users for effective dashboard usage Required Qualifications: Bachelors degree in UX Design, Data Visualization, HCI, or related field 4+ years of total work experience in related field. 3+ years of hands-on experience designing dashboards in Tableau Strong understanding of UI/UX design and dashboard usability Portfolio showcasing data-driven visual design work Proficiency with design tools like Figma, Sketch, or Adobe XD Familiarity with structured datasets and data modeling concepts Excellent communication and collaboration skills Preferred Qualifications: Working knowledge of SQL or other querying languages Experience with Tableau Server/Cloud features Prior experience building dashboards for executive-level reporting Work Hours: IST time zone with 12 hours overlap with PST