2529 Data Visualization Jobs - Page 37

JOB DESCRIPTION : Location : Remote. Experience : 12+ years. Role Expectations : - Design, develop, and maintain interactive dashboards and reports using Power BI. - Create and optimize data models, including star/snowflake schemas. - Develop complex DAX calculations and KPIs to drive business insights. - Integrate data from various sources (SQL Server, Excel, SharePoint, APIs, etc.) - Collaborate with business stakeholders to gather requirements and translate them into technical solutions. - Perform data validation and troubleshooting to ensure accuracy and performance. - Implement row-level security and user-based data access strategies. - Provide guidance on Power BI governance, best practices, and self-service analytics models. - Maintain data refresh schedules and monitor report performance. - Work with cross-functional teams including data engineers, analysts, and business users. Qualifications : - 12+ years of hands-on Power BI development. - Advanced DAX and data modeling expertise. - Experience with Power Query/M Language. - Strong dashboard and visualization design skills. - Power BI Service and Power BI Report Server knowledge. - Row-level security and gateway configurations. - Familiarity with Power BI REST API and embedding techniques. - Proficient in writing complex T-SQL queries, stored procedures, views, and functions. - Data extraction, transformation, and integration using SQL. - Experience with large datasets and performance tuning.

Dear Candidate, We are seeking a Data Visualization Engineer to turn complex data into clear, engaging visual insights that empower business decisions. This role involves working closely with analysts and stakeholders to build interactive dashboards and reports. Key Responsibilities: Design and develop visualizations using tools like Power BI, Tableau, or Looker. Translate data into compelling stories and business insights. Optimize dashboard performance and usability for end users. Collaborate with data engineering and analytics teams. Implement visualization standards and data governance practices. Required Skills & Qualifications: Proficiency in data visualization tools (Power BI, Tableau, D3.js). Strong knowledge of SQL and data modeling. Understanding of UX principles in data presentation. Experience working with large datasets and cloud-based data platforms. Knowledge of scripting languages (Python, R) is a plus. Soft Skills: Strong troubleshooting and problem-solving skills. Ability to work independently and in a team. Excellent communication and documentation skills. Note: If interested, please share your updated resume and preferred time for a discussion. If shortlisted, our HR team will contact you. Kandi Srinivasa Reddy Delivery Manager Integra Technologies

Looking for min 2 years of exp in MIS and Work force Management Must have exp in Advanced Excel and Power BI Location- Pune WFO| Rotational Shifts CTC- 6 LPA+ Variables Immediate Joiners Only Any Graduate Share cv at aafreen@genesishrs.com

Software Requirements Required Skills: Proficiency in Python (version 3.6+) with experience in data analysis, manipulation, and scripting Knowledge of SQL for data extraction, transformation, and database querying Experience with data visualization tools such as PowerBI , Tableau , or QlikView Familiarity with AI and Machine Learning frameworks such as TensorFlow , Keras , PyTorch , or equivalent Hands-on experience in developing, deploying, and optimizing machine learning models Preferred Skills: Experience with R for data analysis Familiarity with cloud platforms like AWS , Azure , or GCP for deploying AI solutions Knowledge of version control systems such as Git Overall Responsibilities Analyze, interpret, and visualize large and complex datasets to extract actionable insights Design, develop, and implement machine learning and AI models for predictive and prescriptive analytics Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions Communicate findings, insights, and recommendations via reports, dashboards, and presentations to stakeholders Evaluate and refine models and algorithms to maximize accuracy, efficiency, and impact Stay informed on emerging AI, Data Science, and analytics trends and incorporate best practices into projects Support automation efforts, optimize data pipelines, and enhance existing analytical workflows Contribute to organizational learning by sharing knowledge and mentoring team members Strategic objectives: Drive innovation through the application of AI and machine learning Enable data-driven decision-making across business units Improve operational efficiencies and business outcomes Performance outcomes: Accurate, robust, and scalable AI models High-quality insights delivered on time and aligned with business needs Well-documented solutions and knowledge-sharing artifacts Technical Skills (By Category) Programming Languages (Essential): Python (required); experience with R is a plus SQL (required); experience with data manipulation and querying Data Analysis & Visualization Tools (Essential): PowerBI, Tableau, or QlikView Frameworks & Libraries (Essential): TensorFlow, Keras, PyTorch, or similar frameworks for AI/ML development Data Management & Databases (Essential): Relational databases (e.g., MySQL, PostgreSQL, Oracle) Data extraction and transformation (ETL processes) Cloud & Deployment (Preferred): Experience deploying models on cloud platforms such as AWS, Azure, GCP Development & Version Control (Preferred): Git for code versioning Other Skills: Strong statistical knowledge and experience with data preprocessing, feature engineering Familiarity with agile development methodologies Experience Requirements 3 to 5 years of relevant experience in AI, Data Science, or Data Analytics roles Proven track record applying machine learning techniques to real-world problems Experience working with large datasets and scalable data pipelines Experience collaborating with cross-functional teams to deliver analytics-driven solutions Industry experience in finance, healthcare, retail, or similar data-rich sectors is preferred Alternative pathways: Candidates with extensive AI & ML project experience, strong programming skills, and relevant certifications can be considered with slightly varied years of experience Day-to-Day Activities Collect, clean, and explore large datasets to identify patterns and insights Develop and tune machine learning models to address business problems Collaborate with business analysts, data engineers, and product owners to align technical solutions with organizational goals Document methodologies, code, and analytical findings to ensure reproducibility and knowledge sharing Create dashboards, visualizations, and reports to communicate insights effectively Evaluate model performance regularly and optimize models for accuracy and efficiency Participate in team meetings, project planning, and review sessions Keep abreast of advancements in AI/ML technologies, tools, and best practices Qualifications Bachelors degree in Computer Science , Data Science , Statistics , or related field Masters degree or higher in AI, Data Science, or related disciplines is a plus Professional certifications in AI/ML (e.g., TensorFlow Developer, AWS Machine Learning Specialty) are advantageous Willing to learn new tools and stay updated with emerging AI trends Ability to work independently and collaborate effectively in a dynamic environment Professional Competencies Analytical and problem-solving mindset with a focus on actionable insights Excellent verbal and written communication skills for diverse audiences Strong interpersonal skills and stakeholder management Adaptability to fast-changing technology landscapes Growth mindset with continuous learning enthusiasm Organizational skills to handle multiple projects and priorities simultaneously Innovation-driven approach and proactive problem resolution

Role & responsibilities * Proficient in data visualization using Power BI and strong application development. * Excellent knowledge connecting Microsoft Power BI Desktop to various data sources. * Implementation of Row Level Security by defining various constraints for each defined ROLE (will be evaluated) * Advanced DAX capabilities in MS Power BI Desktop. * Need to have experience in creating calculated measures and columns with DAX * Expert knowledge using advanced calculations using MS Power BI Desktop (Aggregate, Date, Logical, String, Table) * Good at creating different visualizations using Slicers, Lines, Pies, Histograms, Maps, Scatter, Bullets, Heat Maps, Tree maps, etc. * Must understand Active Directory users and groups and setting up access using these groups. * Expert in setting up the necessary connection details and scheduling. * Publish reports into Power BI service and schedule the datasets and dashboards, providing row level security. * Must have a good understanding of different ways of sharing and publishing on the power bi service and debugging permission and sharing issues. * Needs to be current on latest Power BI updates * Knowledge of Power BI Administration is helpful. PowerShell Scripts and Power BI service API to setup Administration tasks. * Must have knowledge of setting up Power BI Gateways and Manage Data Sources (will be evaluated) . * Working knowledge of using Snowflake is a plus. * Good hands-on experience of working in SQL, writing complex queries / stored procedures. * Must be detail oriented and have working knowledge of both Unit testing and Performance testing. * Working knowledge on Power Automate is prefered

What you’ll do: Utilize advanced mathematical, statistical, and analytical expertise to research, collect, analyze, and interpret large datasets from internal and external sources to provide insight and develop data driven solutions across the company Build and test predictive models including but not limited to credit risk, fraud, response, and offer acceptance propensity Responsible for the development, testing, validation, tracking, and performance enhancement of statistical models and other BI reporting tools leading to new innovative origination strategies within marketing, sales, finance, and underwriting Leverage advanced analytics to develop innovative portfolio surveillance solutions to track and forecast loan losses, that influence key business decisions related to pricing optimization, credit policy and overall profitability strategy Use decision science methodologies and advanced data visualization techniques to implement creative automation solutions within the organization Initiate and lead analysis to bring actionable insights to all areas of the business including marketing, sales, collections, and credit decisioning Develop and refine unit economics models to enable marketing and credit decisions What you’ll need: 5 to 8 years of experience in data science or a related role with a focus on Python programming and ML models. Strong in Python, experience with Jupyter notebooks, and Python packages like polars, pandas, numpy, scikit-learn, matplotlib, etc. Experience with ML lifecycle: data preparation, training, evaluation, and deployment Hands-on experience with GCP services for ML & data science Experience with Vector Search and Hybrid Search techniques Embeddings generation using BERT, Sentence Transformers, or custom models Embedding indexing and retrieval (Elastic, FAISS, ScaNN, Annoy) Experience with LLMs and use cases like RAG Understanding of semantic vs lexical search paradigms Experience with Learning to Rank (LTR) and libraries like XGBoost, LightGBM with LTR support Proficient in SQL and BigQuery Experience with Dataproc clusters for distributed data processing using Apache Spark or PySpark Model deployment using Vertex AI, Cloud Run, or Cloud Functions Familiarity with BM25 ranking (Elasticsearch or OpenSearch) and vector blending Awareness of search relevance evaluation metrics (precision@k, recall, nDCG, MRR) Life at Next: At our core, we're driven by the mission of tailoring growth for our customers by enabling them to transform their aspirations into tangible outcomes. We're dedicated to empowering them to shape their futures and achieve ambitious goals. To fulfil this commitment, we foster a culture defined by agility, innovation, and an unwavering commitment to progress. Our organizational framework is both streamlined and vibrant, characterized by a hands-on leadership style that prioritizes results and fosters growth. Perks of working with us: Clear objectives to ensure alignment with our mission, fostering your meaningful contribution. Abundant opportunities for engagement with customers, product managers, and leadership. You'll be guided by progressive paths while receiving insightful guidance from managers through ongoing feedforward sessions. Cultivate and leverage robust connections within diverse communities of interest. Choose your mentor to navigate your current endeavors and steer your future trajectory. Embrace continuous learning and upskilling opportunities through Nexversity. Enjoy the flexibility to explore various functions, develop new skills, and adapt to emerging technologies. Embrace a hybrid work model promoting work-life balance. Access comprehensive family health insurance coverage, prioritizing the well-being of your loved ones. Embark on accelerated career paths to actualize your professional aspirations. Who we are? We enable high growth enterprises build hyper personalized solutions to transform their vision into reality. With a keen eye for detail, we apply creativity, embrace new technology and harness the power of data and AI to co-create solutions tailored made to meet unique needs for our customers. Join our passionate team and tailor your growth with us!

Whats the role The Analyst MICOE role requires an experienced designer of data visualizations and complex reporting with a strong understanding of the Financial metrics and how they influence business performance. This designer will work with an integrated team of developers, business analysts, Interface Managers in creating complex data visualizations using Microsoft Power BI and other tools. Once a solution is live, run and maintain the same, take care of year roll-over and minor changes/enhancements to the solution. What you will be doing Swift understanding of the business model, expectations from business, linking it to the business strategy and the way KPIs are measured. Design and create data visualizations in Microsoft Power BI. Expertise in creating info links to ERPs or source Databases to fetch data into visualization tools. Facilitate design review sessions with senior analysts and key stakeholders to refine and elaborate the data visualizations. Work on validation and testing to ensure it meets the requirements. Creates the design specification, deployment plans, and other technical documents for respective design activities. Create user reference document and Training videos on how to use. Support to troubleshooting problems, providing workarounds etc., Estimates the magnitude and time requirements to complete all tasks and provides accurate and timely updates to the team on progress. Ensure on time, high quality deliverables and meeting project milestones and deadlines (Project Plan On A Page) within budget with minimal supervision. Assists peers in the business application, development technologies etc., Participates in peer review of work products such as code, designs, and test plans produced by other team members. Ensure IRM compliance of tools, maintain evidence for the user access management and support any system audit. Support the team in creation, run & maintain, tool enhancements and deployment of latest technologies and functionalities. Working in a Global and Cross cultural environment & displaying strong personal effectiveness. What we need from you Minimum of 4 years of data visualization experience but can be relaxed for the right person with the required drive and appetite for action. Must have good experience in creating data models, complex visualizations of data based upon identified information needs, business model, Data set / ERP system and stakeholder requirements Should have global reporting system exposure (GSAP, GPMR, HANA & ECC). Experienced in data modelling, data extraction through SQL. Coding skills would be a plus (Python, VBA, R, etc.) MUST be a Power BI developer. Experienced in working on complex reporting/data visualizations using Microsoft Power BI Strong understanding of Data management (SQL/Azure). Demonstrated experience developing end to end data flow structures, resulting in intuitive BI dashboards with high uptake. Candidates should have in depth experience working with end users to refine identified business needs through in-depth design reviews and information sessions. Candidates should be results driven, detailed orientated and work well within a dynamic and creative team. Work exposure to MS Access, MS Excel and Power Point is essential. Possess good written and oral communication skills as well as presentation skills Ability to learn quickly and adapt to new environments. Self-driven and motivated individual that takes pride in the development of high quality, on time solutions, run and maintain the existing tools and support team for other deliverables.

As a Business Analyst within our Operations team, you will play a pivotal role in leveraging data-driven insights to optimize processes, enhance operational efficiency, and drive strategic decision-making. Your responsibilities will involve utilizing a mix of technical skills and business acumen to interpret complex data sets, generate actionable insights, and support operational improvements. Key Responsibilities: Collaborate closely with cross-functional teams to understand operational requirements, identify opportunities for improvement, and define key performance indicators (KPIs) to measure success. Analyze large datasets using SQL, Python, and advanced Excel techniques to extract, transform, and visualize data for operational reporting and decision making purposes. Develop and maintain automated reports and dashboards using Power BI, Power Query, Tableau, Data Studios, Looker, and other visualization tools to communicate insights effectively. Conduct in-depth analysis and interpretation of operational data to identify trends, patterns, and anomalies, providing actionable recommendations to drive operational excellence. Utilize strong aptitude and logical thinking to solve complex operational challenges and contribute to strategic initiatives that optimize workflows and enhance overall business performance. Foster strong stakeholder relationships through effective communication, presenting insights, and collaborating on operational strategies and solutions. Required Skills and Qualifications: Bachelor's degree in Business Administration, Data Science, Computer Science, or a related field. Proficiency in SQL, Python, and advanced Excel for data analysis and manipulation. Hands-on experience with Power BI, Power Query, Tableau, Data Studios, Looker, or similar visualization tools. Strong analytical and problem-solving abilities with a sharp aptitude for logical thinking. Excellent communication skills and the ability to effectively engage with stakeholders at all levels. Proven track record of successfully managing and prioritizing multiple projects simultaneously in a fast-paced environment. Strong collaborative skills and the ability to work effectively in a team-oriented culture. Preferred Qualifications: Experience in the e-commerce industry or within a high-growth, dynamic environment. Knowledge of additional programming languages, statistical tools, or data modeling techniques. Certifications in business analysis, data visualization, or related fields.

As an Advanced Analytics & Reporting Analyst 3 in the Mobile Analytics domain, you will be responsible for analyzing and interpreting data related to the entire mobile user journey. Your insights will be crucial in understanding user behavior, optimizing app performance, and supporting our GTM team. Key Responsibilities: Mobile User Journey Analysis: Analyze stages such as downloads (organic/paid), app ranking, category penetration, and user transitions from freemium to paid models. App Store Analytics: Track and interpret metrics from Google and Apple consoles, focusing on key indicators like app ratings, reviews, and crash rates. App Launch Metrics: Monitor and analyze the frequency of app launches by users. Feature Usage Analysis: Evaluate the usage of specific app features. 3rd Party Tools Expertise: Utilize tools like Sensor Tower, Data.AI, Google App Console, App Store Console, AppTweak, and Branch to track performance and understand paid media effectiveness. Regular Reporting: Compile and present mobile DDOM scorecards and paid media performance reports every Monday. Deep-Dive Analysis: Conduct in-depth analyses and support monthly category mobile RTBs (e.g., DC RTB, LrM RTB). Project Support: Assist in unlocking growth and driving various analytical projects. Qualifications: Proven experience in the mobile analytics domain. Strong understanding of the overall mobile user journey and key metrics. Proficiency with 3rd party tools such as Sensor Tower/Data.AI, Google App Console, App Store Console, AppTweak, and Branch. Excellent analytical and problem-solving skills. Ability to compile and present detailed reports. Strong communication and collaboration skills. Experience working in an app agency or similar environment is highly valuable.

Actively work with latest technologies&leading practices specific to analytics,data visualization,AI/ML&RPA to drive strategic benefits in the area of audit quality,efficiency&value creation leading audit related data extractions,enablement,analytics Required Candidate profile Min 4 yrs relevant data analytics experience,EDW concepts,good understanding of data mining and programming languages such as python, oracle sql working exp with visualization tools power BI,SAP BO

Overview The Senior Data Analyst is responsible for serving as a subject matter expert who can lead efforts to analyze data with the goal of delivering insights that will influence our products and customers. This position will report into the Data Analytics Manager , and will work closely with members of our product and marketing team s , data engineers, and members of our Customer Success organization supporting client outreach efforts. The chief function s of this role will be finding and sharing data-driven insights to deliver value to le ss technical a udiences , and instilling best practices for analytics in the rest of the team . Responsibilities Perform various data analysis functions to a nalyzedatafrom a variety of sources including external labor marketdataand research and internaldatasets fromourplatforms Incorporate information from a variety of systems to produce comprehensive and compelling narrative s for thought-leadership initiatives and customer engagements Demonstrate critical thinking - identify the story in context using multipledatasets, and present results . A strong proficiency in data storytelling will be critical to success in this role. Understand principles of quality data visualization and apply them in Tableau to create and maintain custom dashboards for consumption by other employees Find and i nvestigatedataquality issues, root causes andrecommendremedies to be implemented by thedatascientists and engineers Lia i se with teams around our business to understand their problems , determine how our team can help, then use our database to produce the content they need Identify datamappingand enrichmentrequirements . Familiarity with SQL, especially the logic behind different types of data joins and writing efficient queries, will be necessary Consistently ensure that business is always conducted with integrity and that behavior aligns with iCIMS policies, procedures, and core competencies Additional Job Responsibilities: Produce and adaptdatavisualizations in response to business requests for internaland externaluse Shows good judgement in prioritizing their own commitments and those of the larger team , while demonstrating initiative and appropriate urgency when needed Mentor junior team members in best practices for analytics, data visualization, and data storytelling . Exemplify these standards and guide teammates in following them. Think creatively to produce unique, actionable insights from complex datasets, which can deliver value to our business and to our customers. Qualifications 5-10 years professional experienceworking in an analytics capacity Excellent communication skills , especially with regards to data storytelling – finding insights from complex datasets and sharing those findings with key stakeholders Strongdataanalytics and visualization skills Expertise in Tableau Desktop (Tableau Server and Prep are preferable) producing clear and informative graphs and dashboards Proficiency in SQL and either Python or R to extract and prepare data for analysis Advanced knowledge of Excel (Pivot tables, VLOOKUPs, IF statements) Familiarity with data guardrails to ensure compliance with applicable data governance regulations and privacy laws (i.e., GDPR)

Responsibilities: Analysis of cross-customer and customer specific data. Analysis for diagnosis of product and customers specific problems and also to demonstrate value of our data to customers. Support sales and product adoption for data related use-cases (occupancy, captive portal, behavioral metrics, BMS integrations etc) Help design monitoring tools to detect product and customer relative issues around product Customer demonstrations of more sophisticated data products like Firehose. Engineering/Product linkages Collaborate with specialist teams to help deliver solutions. (Webex, Meraki etc) Leverage on ML based approaches for fault detection tools, for trends and also customer/category analysis Qualifications: Advanced degree or equivalent experience in Engineering, Computer Science, Maths or a related technical field Proficiency in programming and scripting languages R and/or Python Experience using relational database - SQL Basic proficiency with Machine Learning methods and applications Skills: Passion for problem solving. Highly driven and customer oriented. Excellent communication.

Reporting and Optimization in Adobe Analytics, Google Analytics Create documents like Business Req. Doc, Tech Spec Doc etc Do the measurement planning for Digital Analytics and Implementation projects Design a solution and digital strategy Experience in Data integration and BigQuery integration Create data visualization dashboards specially on Workspace, Data Studio, MS Excel and Adobe Report builder Develop the strategy of enterprise level solutions as we'll as architecting extensible and maintainable solutions utilizing the Adobe and Google analytics platforms Understand and use multitude of tag managers and writing JavaScript code to realize client driven business requirements Excellent understanding of digital analytics specially Clickstream Data Agile method understanding Management Skills: Excellent written and oral communication skills Excellent listener Staying abreast of new technologies and issues in the software-as-a-service industry, including current technologies, platforms, standards and methodologies Your impact: About you: (Desired profile) Must have: (Requirements) Analytics Platforms - Google Analytics, Adobe Analytics/Omniture SiteCatalyst Big Query Nice to have: (Additional desired qualities) Tag Managers - Adobe Launch/DTM, Tealium IQ, Google Tag Manager, Piwik Pro, Signal/Bright Tag Optimization Platform - Adobe Target, Google Optimize, Optimizely1+ years in a client facing role for solutioning and / or evangelizing technology approaches. Programming Languages - JavaScript, jQuery Markup Languages - HTML, CSS

Serve as the primary point of contact for assigned client accounts, understanding their goals, needs, and challenges Develop account strategies to overcome the challenges and action plans to meet client objectives and maximize account growth as per the target Conduct regular F2F business reviews with clients, discussing performance, identifying areas for improvement, and presenting new opportunities Track and analyze account performance, sales data, account funnel, and market trends to identify opportunities and challenges Drive business growth for newly onboarded partners by working on their basic hygiene and health metrics Deliver Incremental Revenue from the assigned clients through monetization and commercial improvements Deliver incremental counter share for all assigned clients by strategic planning to dominate market share Maintaining a strong relationship with restaurant owners and delivering best-in-class restaurant NPS Collaborate with internal teams to coordinate and deliver exceptional service to clients, addressing any issues or concerns promptly Generate leads and proactively approach potential clients, presenting our value proposition and securing new partnerships Desired Candidate: Graduate with excellent communication skills. Good working knowledge and experience of e-commerce activities and all online marketing channels Confident, Pleasing and a go-getter personality Effective communication skills Attitude & Aptitude for Sales Should be a team player, working alongside people from all walks of life Analytical, good Excel skills Leadership and Influencing skills: Identify, builds, and use a wide network of contacts with people at all levels, internally and externally. Achieves a good result through a we'll-planned approach Initiative & Flexibility: Recognizes the need to adapt to change & implement appropriate solutions. Be able to identify opportunities and recommend/influence change to increase the effectiveness and success of campaigns Creativity & Initiative: Demonstrate creativity & originality in their work and have the personal drive and initiative to bring about change and help drive the business forward. Being the face of Swiggy in the market and standing up for the values we believe in Key Skills Required: P&L UnderstandingMarket Research and Intelligence Customer Lifetime Value Business Development Data Logic Data Interpretation Data Visualization MS Excel Data Analysis Result Orientation Managing Relationships Conflict Management Problem-Solving

data preparation, blending, visualization using Alteryx, Tableau Develop, test, Support Alteryx canvases SQL fundamentals Analytical apps,macros in Alteryx dashboards, reports using Tableau. python for data manipulation, integration API and DB

In this role, you will: Participate in a variety of assigned and ongoing business operations to ensure success in meeting business goals and objectives Identify opportunities for process improvement by conducting root cause testing of all compliance and business metrics Determine areas of strength or Business Execution opportunity within defined scope of work Review and research strategies and action plans to establish effective processes while meeting performance metrics and policy expectations Utilize independent judgment to guide moderate risk deliverables Present recommendations to develop, implement, and monitor strategic approaches, effectiveness of support function, and business performance improvement opportunities for managing risks of the business Exercise independent judgment and provide guidance in diverse support functions and operations for a single business group within a line of business Collaborate and consult with leaders and executive management Provide work direction to less experienced Strategy and Execution staff Required Qualifications: 2+ years of Business Execution, Implementation, or Strategic Planning experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Desired Qualifications Required to have : 1)Support the Product Owner in maintaining a clean and organized Jira backlog, including Epics, Stories, and Tasks. 2)Monitor progress of user stories and identify items that are approaching or past due dates. 3)Assist in preparing for and following up after Agile ceremonies (sprint planning, stand-ups, reviews, retrospectives). 4)Ensure all Jira tickets are updated with proper descriptions, acceptance criteria, estimates, status ,and artifacts 5)Create and manage Jira dashboards, reports, and filters to provide visibility to the team and stakeholders. 6)Communicate with team members to gather updates, remove blockers, and escalate issues where needed. 7)Collaborate with the Product Owner to prioritize work and align tasks with sprint goals. 8)Support documentation efforts in agile boards, linking stories to relevant specs and decisions. 9)Working knowledge of Agile methodologies(Scrum/Kanban) 10)Collect, analyze, and interpret data to measure the effectiveness of change initiatives. 11)Develop dashboards, KPIs, and reports to monitor adoption, performance, and compliance metrics. 12)Use data insights to recommend adjustments to change strategies. 13)Conduct post-implementation reviews and feedback surveys for lessons learned. 14)Key skills required Advanced excel , SQL, Python ,Data Visualization Skills.

Roles and Responsibilities Collect data from various sources, clean it, and analyze it using statistical tools. Create reports based on analysis findings to present insights to stakeholders. Develop dashboards and visualizations to effectively communicate results. Manage databases by designing schema, writing queries, and optimizing performance. Ensure accuracy of data through quality control measures. Desired Candidate Profile 1-5 years of experience in Data Analysis or related field (Data Analytics). B.Tech/B.E. degree in Any Specialization. Proficiency in SQL programming language with knowledge of database management systems like MySQL or PostgreSQL. Strong understanding of statistics, data interpretation, and data visualization techniques.

Summary We are seeking a highly skilled and motivated GCP Data Engineering Manager to join our dynamic team. As a Data Engineering manager specializing in Google Cloud Platform (GCP), you will play a crucial role in designing, implementing, and maintaining scalable data pipelines and systems. You will leverage your expertise in Google Big Query, SQL, Python, and analytical skills to drive data-driven decision-making processes and support various business functions. About the Role Key Responsibilities: Data Pipeline Development: Design, develop, and maintain robust data pipelines using GCP services like Dataflow, Dataproc, ensuring high performance and scalability. Google Big Query Expertise: Utilize your hands-on experience with Google Big Query to manage and optimize data storage, retrieval, and processing. SQL Proficiency: Write and optimize complex SQL queries to transform and analyze large datasets, ensuring data accuracy and integrity. Python Programming: Develop and maintain Python scripts for data processing, automation, and integration with other systems and tools. Data Integration: Collaborate with data analysts, and other stakeholders to integrate data from various sources, ensuring seamless data flow and consistency. Data Quality and Governance: Implement data quality checks, validation processes, and governance frameworks to maintain high data standards. Performance Tuning: Monitor and optimize the performance of data pipelines, queries, and storage solutions to ensure efficient data processing. Documentation: Create comprehensive documentation for data pipelines, processes, and best practices to facilitate knowledge sharing and team collaboration. Minimum Qualifications: Proven experience (minimum 6 - 8 yrs) in Data Engineer, with significant hands-on experience in Google Cloud Platform (GCP) and Google Big Query. Proficiency in SQL for data transformation, analysis and performance optimization. Strong programming skills in Python, with experience in developing data processing scripts and automation. Proven analytical skills with the ability to interpret complex data and provide actionable insights. Excellent problem-solving abilities and attention to detail. Strong communication and collaboration skills, with the ability to work effectively in a team enviro Desired Skills : Experience with Google Analytics data and understanding of digital marketing data. Familiarity with other GCP services such as Cloud Storage, Dataflow, Pub/Sub, and Dataproc. Knowledge of data visualization tools such as Looker, Tableau, or Data Studio. Experience with machine learning frameworks and libraries. Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients lives. Ready to create a brighter future together? https://www. novartis. com / about / strategy / people-and-culture Join our Novartis Network: Not the right Novartis role for you? Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up: https://talentnetwork. novartis. com/network Benefits and Rewards: Read our handbook to learn about all the ways we ll help you thrive personally and professionally:

Job TItle: Microsoft Fabric Data Engineer Location: Bangalore Job Type: Conract (24 Months) Job Description: We are seeking a highly skilled and experienced Microsoft Fabric Data Engineer/Architect to design, develop, and maintain robust, scalable, and secure data solutions within the Microsoft Fabric ecosystem. This role will leverage the full suite of Microsoft Azure data services, including Azure Data Bricks, Azure Data Factory, and Azure Data Lake, to build end-to-end data pipelines, data warehouses, and data lakehouses that enable advanced analytics and business intelligence. Required Skills & Qualifications: Bachelors degree in Computer Science, Engineering, or a related field. 5+ years of experience in data architecture and engineering, with a strong focus on Microsoft Azure data platforms. Proven hands-on expertise with Microsoft Fabric and its components, including: OneLake Data Factory (Pipelines, Dataflows Gen2) Synapse Analytics (Data Warehousing, SQL analytics endpoint) Lakehouses and Warehouses Notebooks (PySpark) Extensive experience with Azure Data Bricks, including Spark development (PySpark, Scala, SQL). Strong proficiency in Azure Data Factory for building and orchestrating ETL/ELT pipelines. Deep understanding and experience with Azure Data Lake Storage Gen2. Proficiency in SQL (T-SQL, Spark SQL), Python, and/or other relevant scripting languages. Solid understanding of data warehousing concepts, dimensional modeling, and data lakehouse architectures. Experience with data governance principles and tools (e.g., Microsoft Purview). Familiarity with CI/CD practices, version control (Git), and DevOps for data pipelines. Excellent problem-solving, analytical, and communication skills. Ability to work independently and collaboratively in a fast-paced, agile environment. Preferred Qualifications: Microsoft certifications in Azure Data Engineering (e.g., DP-203, DP-600: Microsoft Fabric Analytics Engineer Associate). Experience with Power BI for data visualization and reporting. Familiarity with real-time analytics and streaming data processing. Exposure to machine learning workflows and integrating ML models with data solutions

Role Quicksight Developer Visit our website bmwtechworks.in to know more. Follow us on LinkedIn I Instagram I Facebook I X for the exciting updates. Location Bangalore/ Chennai Experience: 5 8 years Number of openings 2 What awaits you/ Job Profile Design and develop interactive, visually appealing, and data-driven dashboards and reports using Amazon QuickSight. Collaborate with business stakeholders to understand their data visualization requirements and translate them into effective QuickSight solutions. Implement complex data models, calculations, and visualizations within the QuickSight platform. Integrate QuickSight with various data sources, including Amazon Athena, Amazon Redshift, and other AWS data services. Optimize dashboard performance and ensure seamless user experience. Provide technical guidance and support to end-users on the effective utilization of QuickSight. Continuously improve and enhance the QuickSight-based reporting and analytics capabilities. What should you bring along 5+ years of experience in data visualization and dashboard development, using multiple data sources Proficient in using Amazon QuickSight for creating interactive dashboards and reports. Strong understanding of data modeling, data transformation, and data analysis concepts. Familiarity with AWS data services, such as Amazon Athena, Amazon Redshift, and Amazon S3. Experience in integrating QuickSight with various data sources and building end-to-end data pipelines. Excellent problem-solving and analytical skills. Strong communication and collaboration skills to work effectively with business stakeholders. Ability to work in an Agile/Scrum environment. Must have technical skill souir Expertise in Amazon QuickSight for data visualization and dashboard development Proficiency in data modeling, calculation, and visualization techniques Understanding of SQL and data querying concepts (PostGres) Experience in integrating QuickSight with AWS data services (e.g., Athena, Redshift, S3) Familiarity with data transformation and ETL processes Good to have Technical skills Knowledge of other business intelligence and data visualization tools (e.g., Power BI, Tableau) Understanding of AWS architecture and services Proficiency in programming languages (e.g., Python, Java) for data processing and automation

Internal Data Structures & Modeling Design, maintain, and optimize internal data models and structures within the Flexera environment. Map business asset data to Flexeras normalized software models with precision and accuracy. Ensure accurate data classification, enrichment, and normalization to support software lifecycle tracking. Partner with infrastructure, operations, and IT teams to ingest and reconcile data from various internal systems. Reporting & Analytics Design and maintain reports and dashboards in Flexera or via external BI tools such as Power BI or Tableau. Provide analytical insights on software usage, compliance, licensing, optimization, and risk exposure. Automate recurring reporting processes and ensure timely delivery to business stakeholders. Work closely with business users to gather requirements and translate them into meaningful reports and visualizations. Automated Data Feeds & API Integrations Develop and support automated data feeds using Flexera REST/SOAP APIs. Integrate Flexera with enterprise tools (e.g., CMDB, SCCM, ServiceNow, ERP) to ensure reliable and consistent data flow. Monitor, troubleshoot, and resolve issues related to data extracts and API communication. Implement robust logging, alerting, and exception handling for integration pipelines. Skills Must have Minimum 6+ years of working with Flexera or similar software. Flexera Expertise: Strong hands-on experience with Flexera One, FlexNet Manager Suite, or similar tools. Technical Skills: Proficient in REST/SOAP API development and integration. Strong SQL skills and familiarity with data transformation/normalization concepts. Experience using reporting tools like Power BI, Tableau, or Excel for data visualization. Familiarity with enterprise systems such as SCCM, ServiceNow, ERP, CMDBs, etc. Process & Problem Solving: Strong analytical and troubleshooting skills for data inconsistencies and API failures. Understanding of license models, software contracts, and compliance requirements. Nice to have Soft Skills: Excellent communication skills to translate technical data into business insights. Other Languages English: C1 Advanced Seniority Senior Refer a Friend Positive work environments and stellar reputations attract and retain top talent. Find out why Luxoft stands apart from the rest. Recommend a friend Related jobs View all vacancies Data Engineer with Neo4j Data Science India Gurugram Data Engineer with Neo4j Data Science India Bengaluru Data Scientist Data Science India Bengaluru Chennai, India Req. VR-114544 Data Science BCM Industry 23/05/2025 Req. VR-114544 Apply for Senior Flexera Data Analyst in Chennai *

Internal Data Structures & Modeling Design, maintain, and optimize internal data models and structures within the Flexera environment. Map business asset data to Flexeras normalized software models with precision and accuracy. Ensure accurate data classification, enrichment, and normalization to support software lifecycle tracking. Partner with infrastructure, operations, and IT teams to ingest and reconcile data from various internal systems. Reporting & Analytics Design and maintain reports and dashboards in Flexera or via external BI tools such as Power BI or Tableau. Provide analytical insights on software usage, compliance, licensing, optimization, and risk exposure. Automate recurring reporting processes and ensure timely delivery to business stakeholders. Work closely with business users to gather requirements and translate them into meaningful reports and visualizations. Automated Data Feeds & API Integrations Develop and support automated data feeds using Flexera REST/SOAP APIs. Integrate Flexera with enterprise tools (e.g., CMDB, SCCM, ServiceNow, ERP) to ensure reliable and consistent data flow. Monitor, troubleshoot, and resolve issues related to data extracts and API communication. Implement robust logging, alerting, and exception handling for integration pipelines. Skills Must have Minimum 6+ years of working with Flexera or similar software. Flexera Expertise: Strong hands-on experience with Flexera One, FlexNet Manager Suite, or similar tools. Technical Skills: Proficient in REST/SOAP API development and integration. Strong SQL skills and familiarity with data transformation/normalization concepts. Experience using reporting tools like Power BI, Tableau, or Excel for data visualization. Familiarity with enterprise systems such as SCCM, ServiceNow, ERP, CMDBs, etc. Process & Problem Solving: Strong analytical and troubleshooting skills for data inconsistencies and API failures. Understanding of license models, software contracts, and compliance requirements. Nice to have Soft Skills: Excellent communication skills to translate technical data into business insights. Other Languages English: C1 Advanced Seniority Senior Refer a Friend Positive work environments and stellar reputations attract and retain top talent. Find out why Luxoft stands apart from the rest. Recommend a friend Related jobs View all vacancies Data Engineer with Neo4j Data Science India Chennai Data Engineer with Neo4j Data Science India Bengaluru Data Scientist Data Science India Bengaluru Gurugram, India Req. VR-114544 Data Science BCM Industry 23/05/2025 Req. VR-114544 Apply for Senior Flexera Data Analyst in Gurugram *

Internal Data Structures & Modeling Design, maintain, and optimize internal data models and structures within the Flexera environment. Map business asset data to Flexeras normalized software models with precision and accuracy. Ensure accurate data classification, enrichment, and normalization to support software lifecycle tracking. Partner with infrastructure, operations, and IT teams to ingest and reconcile data from various internal systems. Reporting & Analytics Design and maintain reports and dashboards in Flexera or via external BI tools such as Power BI or Tableau. Provide analytical insights on software usage, compliance, licensing, optimization, and risk exposure. Automate recurring reporting processes and ensure timely delivery to business stakeholders. Work closely with business users to gather requirements and translate them into meaningful reports and visualizations. Automated Data Feeds & API Integrations Develop and support automated data feeds using Flexera REST/SOAP APIs. Integrate Flexera with enterprise tools (e.g., CMDB, SCCM, ServiceNow, ERP) to ensure reliable and consistent data flow. Monitor, troubleshoot, and resolve issues related to data extracts and API communication. Implement robust logging, alerting, and exception handling for integration pipelines. Skills Must have Minimum 6+ years of working with Flexera or similar software. Flexera Expertise: Strong hands-on experience with Flexera One, FlexNet Manager Suite, or similar tools. Technical Skills: Proficient in REST/SOAP API development and integration. Strong SQL skills and familiarity with data transformation/normalization concepts. Experience using reporting tools like Power BI, Tableau, or Excel for data visualization. Familiarity with enterprise systems such as SCCM, ServiceNow, ERP, CMDBs, etc. Process & Problem Solving: Strong analytical and troubleshooting skills for data inconsistencies and API failures. Understanding of license models, software contracts, and compliance requirements. Nice to have Soft Skills: Excellent communication skills to translate technical data into business insights. Other Languages English: C1 Advanced Seniority Senior Refer a Friend Positive work environments and stellar reputations attract and retain top talent. Find out why Luxoft stands apart from the rest. Recommend a friend Related jobs View all vacancies Data Engineer with Neo4j Data Science India Chennai Data Engineer with Neo4j Data Science India Gurugram Business Analyst Data Science Poland Remote Poland Bengaluru, India Req. VR-114544 Data Science BCM Industry 23/05/2025 Req. VR-114544 Apply for Senior Flexera Data Analyst in Bengaluru *

Key ResponsibilitiesLearning and Development: Engage in training sessions and workshops to enhance your skills and knowledge relevant to your role Assisting Senior Staff: Support senior team members in their tasks, which may include research, data analysis, and project management Project Participation: Contribute to team projects, providing fresh perspectives and innovative ideas to foster collaboration and creativity Problem-Solving: Participate in problem-solving activities, making decisions based on available information and seeking guidance when necessary Collaboration: Work with cross-functional teams to gain a holistic understanding of the company s operations and contribute to multidisciplinary projects

As a Solution Specialist, you will collaborate with multiple teams such as sales, delivery & marketing to put forth Affine in front of our clients/partners. This position will give you opportunities to work on a wide range of problems and businesses as a part of the business team. You will often be working closely with senior management including founders and VPs to define solutioning strategies and engagement workflows. The role requires people with a good mix of technical knowledge and business acumen, and who are prepared to learn every day. Responsibilities Communicate with sales teams, clients, and partners to understand solutioning requirements, translating business questions into analytical solutions. Create solution proposals and respond to requests for proposals (RFPs). Participate in sales meetings as a subject matter expert (SME). Present Affine's thought leadership through intuitive storyboarding. Lead and mentor a team of Solution Analysts to meet expected SLAs. Anticipate and identify changes in industry trends to help the organization develop strategic plans. Research the latest trends in relevant analytical technologies and share knowledge within the organization. Effectively interact with clients, partners, and internal teams at all levels and across geographies. Communicate effectively with both technical and non-technical stakeholders, driving discussions efficiently. Job Requirement Minimum 5+ years of relevant experience in the analytics industry. Familiarity with machine learning and advanced AI concepts or practical experience in these areas is advantageous. Strong technical writing skills for creating required documentation. Ability to identify and contribute to projects aimed at improving services, customer satisfaction, profitability, and team efficiency. Strong customer focus with the ability to manage escalations and balance the needs of customers and internal teams (Sales, Pursuit, Delivery). Experience in translating business questions into analytical solutions. Proficiency in MS PowerPoint and Excel Bachelor's (B.Tech.) or master's degree in engineering or other quantitative disciplines