2529 Data Visualization Jobs - Page 21

We are looking for a skilled Power BI Developer to design, develop, and manage business intelligence solutions that provide actionable insights. You will work closely with stakeholders to understand data needs and transform complex datasets into intuitive, interactive dashboards and reports using Power BI. Key Responsibilities: Understand business requirements and translate them into technical BI solutions Design and develop Power BI dashboards, reports, and datasets Optimize data models for performance and scalability Use Python scripts within Power BI for advanced data manipulation, forecasting, and automation Integrate data from multiple sources (SQL, Excel, APIs, etc.) Work with DAX and Power Query for data transformation and calculations Collaborate with data engineers and business analysts to ensure data accuracy Maintain and support existing BI solutions and troubleshoot issues Stay current on Power BI updates and best practices Requirement: Bachelor's degree; MBA or relevant technical degree preferred, with 3-7 years of experience in Data Analytics. Excellent visualization skills, storytelling abilities, and familiarity with best practices for conveying insights in an intuitive and visually compelling manner. Experience in creating, collecting, analyzing, and communicating business insights from data. Strong background in retention, churn, engagement, and marketing analytics metrics. Knowledge of analytics self-service BI approaches and predictive analytics solutions is a strong advantage. Proficiency in SQL and experience working with Microsoft Azure environment. Experience in statistical techniques (e.g., R, hypothesis testing). 2-3 years of hands-on experience with BI Tools such as Tableau, Power BI, or Fabric. Knowledge of GCS or AWS, AI/ML will be a plus. Preferred Qualifications: Microsoft Power BI certification Experience with large data sets and performance tuning

Grade Level (for internal use): 08 Grade Level (for internal use): 8 Job Title: Lead Data Analyst Functional Domain: Enterprise Data Organization Job Overview: The Lead Data Analyst will play a critical role in the CCST team, working in partnership with the Quality Assurance team. The role involves managing client inquiries, analyzing banking datasets, and leveraging advanced data manipulation skills. This position requires proficiency in SQL, and experience with Python, Salesforce, and Power BI is preferred. The successful candidate will thrive in a global team environment, demonstrating a strong commitment to data integrity and client satisfaction. Key Responsibilities: Client Management & Inquiry Resolution: Act as the primary contact for managing and resolving client inquiries, ensuring exceptional service and satisfaction. Data Analysis & Insights: Analyse client questions to uncover actionable insights that support strategic business decisions. Quality Assurance Participation: Participate in the execution of sampling workflow and quality assurance initiatives to enhance data accuracy and reliability. Data Visualization: Design and develop intuitive Power BI dashboards to facilitate effective data visualization for stakeholders. Advanced Data Manipulation: Employ advanced SQL and Python skills for comprehensive data manipulation and analysis, driving product enhancement. Cross-Functional Collaboration: Collaborate with cross-functional teams to ensure data initiatives align with organizational objectives, fostering a global mindset. Shift Adaptability: Adapt to varying shifts as required, ensuring consistent and reliable support across diverse time zones. What's In It for You: Collaborative Environment: Work closely with client-facing teams to enhance service delivery and client satisfaction. Quality Focus: Engage with the Quality Assurance team to ensure data accuracy and integrity across all analyses. Career Growth: Opportunity to progress within the organization by leveraging strong technical knowledge and expertise. Skill Development: Enhance your skills in data analysis, visualization, and client management through continuous learning and development. Global Exposure: Be part of a diverse team that operates across different time zones, promoting a global mindset and cultural understanding. Basic Required Qualifications: Bachelors degree in Data Science, Computer Science, Finance, or a related field. Proven experience working with banking datasets and managing client inquiries. Proficiency in SQL for data analysis and manipulation. Ability to work in varying shifts to accommodate global business needs. Key Soft Skills: Strong attention to detail and analytical thinking. Excellent communication skills, both written and verbal. Ability to work collaboratively in a team-oriented environment. Flexibility and adaptability to changing work conditions and priorities. Additional Preferred Qualifications: Experience with Python for advanced data analysis and automation. Familiarity with Salesforce for client relationship management. Proficiency in Power BI for creating impactful data visualizations. Demonstrated ability to quickly learn and apply new technologies. Previous experience in a client-facing role within the financial sector.

Job Title: Data Analyst / AI & Deep Learning Location: Remote Type: Full-time Company Overview We work with organizations building advanced AI-powered solutions in areas such as real-time security, smart surveillance, and human behaviour analysis. Our clients combine technologies like computer vision, sensor fusion, and deep learning to drive innovation across embedded systems and cloud platforms. These solutions aim to make physical spaces safer, smarter, and more responsive. We're looking for early-career professionals who are eager to work with complex datasets, support machine learning workflows, and contribute to impactful, real-world AI products. Who would be a Good Fit? Candidates with strong foundation in data analysis, statistics, or machine learning fundamentals, and are passionate about turning messy, real-world data into meaningful insights. This role is perfect for someone with hands-on exposure to tools like Python and SQL, and an interest in working on next-generation AI products. Key Responsibilities Support the collection, cleaning, and preparation of datasets (image, video, sensor, time series). Assist in building and maintaining data pipelines for training and evaluating models. Perform exploratory data analysis (EDA) to uncover patterns or anomalies. Work with cross-functional teams to monitor model metrics and performance. Create visualizations and reports using tools like Seaborn, Plotly, or Tableau. Support annotation processes and help manage data quality checks. Automate routine data handling and reporting tasks using Python and SQL. Required Skills & Qualifications 1 to 3 years of experience in a Data Analysis, Data Science, or related role. Proficiency in Python, along with libraries like Pandas and NumPy. Solid understanding of data cleaning, preprocessing, and exploratory analysis. Working knowledge of SQL and experience working with relational databases. Familiarity with data visualization libraries or tools (e.g., Plotly, Tableau, PowerBI). Experience working with Jupyter or Google Colab for prototyping and analysis. Strong attention to detail and ability to follow data governance and documentation practices. Nice to Have Exposure to computer vision or sensor data projects. Experience with data labelling or annotation platforms (e.g., Label Studio, Roboflow). Familiarity with cloud platforms (e.g., AWS S3, EC2) and version control (Git).

SUMMARY Job Opening: About the Client: Our client is a leading global Fortune 500 IT solutions company that specializes in providing straightforward and scalable solutions to solve intricate business challenges. With a team of over 1,500 professionals, they offer technical and domain expertise across various platforms and industries to assist enterprise companies in enhancing productivity, efficiency, and optimizing their technology investments. Designation: BI Analyst - Team Leader/ Team Manager Experience: 7-15 Yrs Location: Hyderabad Skills required: Attention to detail Problem Understanding Hands-On with Strong SQL Min 2yrs experience working with Large volume data set Good experience in working with End to End Data analytics project, from Data modelling, Data extraction to building the insights Strong Stats + Strong understanding of visualizations w.r.t. business use case. Create technical documentation, versioning, testing, change control, configuration solutions Experience in BI and dashboard Development areas is needed. Knowledge or working experience with machine learning models would be added advantage. Notice period: Immediate - 30 days

Looking for an analytical Business Analyst to join our team. The ideal candidate will Collect, interpret and visualize data to support business goals, identify business trends, define KPIs, and assess the success and feasibility of business solutions

We are looking for a results-driven Data Analytics Professional to join our team. This role requires a strong analytical mindset, deep understanding of data models, and the ability to transform raw data into meaningful insights. The successful candidate will collaborate across departments to support business decisions and improve data-driven strategies. Key Responsibilities: Analyze structured and unstructured data to extract actionable business insights. Design and maintain reports, dashboards, and data visualizations using tools like Power BI or Tableau, or Looker . Work with cross-functional teams to identify business needs and deliver analytics solutions. Develop and maintain automated data pipelines for reporting and analytics. Perform advanced statistical analyses and predictive modeling where applicable. Translate complex data into easy-to-understand formats for both technical and non-technical audiences. Ensure data integrity, consistency, and quality across all reporting sources. Monitor and improve key business metrics through analytical techniques. Required Skills & Qualifications: 5+ years of experience in data analysis, business intelligence, or analytics roles. Strong proficiency in KQL, SQL , Excel, and at least one programming language ( Python, R ). Experience working with large datasets and data visualization tools ( Power BI, Tableau, etc. ). Understanding of statistical methods, data modeling, and forecasting. Excellent problem-solving skills with strong attention to detail. Strong communication and presentation skills. Preferred Qualifications: Experience with cloud data platforms such as Azure. Familiarity with machine learning techniques and tools.

Roles & Responsibilities: Exp level: 10 years Analyzing raw data Developing and maintaining datasets Improving data quality and efficiency Interpret trends and patterns Conduct complex data analysis and report on results Prepare data for prescriptive and predictive modeling Build algorithms and prototypes Combine raw information from different sources Explore ways to enhance data quality and reliability Identify opportunities for data acquisition Develop analytical tools and programs Collaborate with data scientists and architects on several projects Technical Skills: Implementing data governance with monitoring, alerting, reporting Technical Writing capability: documenting standards, templates and procedures. Databricks Knowledge on patterns for scaling ETL pipelines effectively Orchestrating data analytics workloads – Databricks jobs and workflows Integrating Azure DevOps CI/CD practices with data pipeline development ETL modernization, Data modelling Strong exposure to Azure Data services, Synapse, Data orchestration & Visualization Data warehousing & Data lakehouse architecrures Data streaming & Ream time analytics Python PySpark Library, Pandas Azure Data Factory Data orchestration Azure SQL Scripting, Querying, stored procedures

Key Responsibilities: Conduct market research to analyze and define product/market fit and competitive positioning. Assess competitor products, identifying strengths, weaknesses, and opportunities for differentiation. Gather and interpret data related to user behavior, product performance, and market trends. Collaborate with product, engineering, marketing, and sales teams to translate findings into actionable insights. Develop detailed product requirements and documentation to support successful implementation. Assist in creating effective go-to-market strategies and product messaging based on market analysis. Collaborate with Product Managers to defineKPIs and measure the success of new features Monitor and report on product performance, customer usage, and market changes regularly. Contribute to maintaining clear product development timelines and communication across departments. Conduct A/B testing and experimentation to validate feature improvements. Work with Customer Success teams to analyze support tickets and user pain points. Qualifications: 2-3 years of experience in product analysis, market research, or similar analytical roles. Experience working in a startup is preffered. Strong analytical and research skills, with the ability to interpret and present complex data and market information. Attention to detail and first principle thinking is a must Familiarity with product lifecycle management, agile methodologies, and standard analytics tools. Hands-on experience with data visualization tools is an add on What We Offer: Opportunity to work with a rapidly growing SaaS company. A collaborative and innovative work culture. Professional development and career growth opportunities.

Note- Hiring only male candidates based in Chandigarh (Tricity region) Key Responsibilities: Conducting exhaustive secondary research (through databases, annual reports, company websites, government and ministry websites, journals) Data mining and research database management Analysis of market dynamics, industry variables, competitive intelligence, and other market information Data analysis and visualization using relevant software like Tableau. Assisting with writing the market research reports

Job Title: Data Quality Analyst. Location: Chennai HO Fixed CTC: 6LPA + Target Incentive Pay(Upto 25% of Gross Fixed Pay not included in Annual CTC) No of resources: 2 Experience level: Mid-Level (4 + years). Key Responsibility: Proficiency in SQL for querying and Data visualization tools (Eg: Qlik) for testing reports and Dashboards. Advanced Excel functions (eg: VLOOKUP, Macros etc.) to support data analysis and reporting task. Maintain MIS reports to track data quality metrics and trends. Understand the business requirements and data models to perform Data validation, verification and reconciliation. Collaborate with developers, data engineer and business analysts to troubleshoot data discrepancies. Generate detailed reports on testing outcomes, including defects, metrics and recommendations. Knowledge of scripting languages (Eg: Python) for test automation is a plus. Strong analytical and problem solving skills.

About Company: About Shopalyst:Shopalyst offers a Discovery Commerce platform for digital marketers.Combining data, AI and deep integrations with digital media and e-commerce platforms, Shopalyst connects people with products they love.More than 500 marquee brands leverage our SaaS platform for data driven marketing and sales in 30 countries across Asia, Europe and Americas. We have offices in Fremont CA, Bangalore, and Trivandrum. Our company is backed by Kalaari Capital. About the Role: Customer Success Executive (eCommerce Insights): Are you a SaaS person or a SaaS enthusiast? Do you have hands-on experience in eCommerce domain? Do you love tracking market intelligence from brand data? Are you passionate about converting your insights into meaningful action-driven conversations with stakeholders? Do you love closely working with brands, brand partners and clients from across the globe? If yes, Shopalyst welcomes you to be part of their data-driven customer success team.This opportunity is based out of Bangalore location. Responsibilities: Manage and own assigned clients/projects, collaborate and coordinate with a variety of global stakeholders and cross-functional teams Responsible for all aspects of business operations as the primary point of contact right from business requirement gathering, coordinating with cross functions on feasibility checks, issue resolution, scope adherence, and service delivery Develop and promote key metrics and reports to measure and publish results over time Track top opportunities through brand data and share the input periodically with relevant internal cross functions to convert it into a value proposition for the client from a SaaS product perspective. The client managing customer success executive is accountable for timelines of service delivery which is a combination of BAU and ad-hoc requests, identifying and resolving issues and conflicts across the project Gather, analyze, and interpret quantitative and qualitative data, draw conclusions, and develop recommendations, use visualization skills to make a point Develop powerful presentations/visualizations and present in internal and external cadence calls on the updates, progress and new ideas if any Mentor and support the development of junior team members Requirements: Overall experience of 2-5 years Ecommerce domain operations knowledge is a must • Strong presentation, verbal and written communication skills, and experience communicating to, and working with virtual teams. Ability to manage operational performance and reporting cycles (including the oversight of KPIs, opportunity pipeline, and tracking the returns) Strong analytical reasoning based on brand data, logical structuring, visualizations & presentations Ability to build meaningful conversations/recommendations basis large sets of data and broad stakeholder perspectives Self-motivated, innovative, and strong team player Exceptional attention to detail, responsiveness Highly developed personal and professional ethics We understand that not all applicants will have skills that match the exact job description. We value diverse experiences in the relevant industry and encourage everyone who meets the required qualifications to apply. If you lack the desired experience, but do have the knowledge and confidence to leave a mark, go ahead and apply. Additional Notes: At Shopalyst, we are creating a global workplace that enables everyone to find their true potential,purpose, and passion irrespective of their background, gender, race, sexual orientation, religion and ethnicity. We are committed to providing equal opportunity for all and believe that diversity in the workplace creates a more vibrant, richer work environment that advances the goals of our employees,communities and the business. www.Shopalyst.com

BRIEF OF JOB PROFILE & ROLE AND RESPONSIBILITIES Your duties as Junior Data Scientist are as follows: Design, develop, test, deploy and maintain BI development projects which will include but not limited to Report and Dashboard development, Statistical Modelling, Machine Learning, Artificial Intelligence. Deliver client presentations, create Data Visualizations, and exhibit Data Storytelling skills. Perform complex development tasks and use the technologies as deemed appropriate for the projects by the Employer. Technologies will include SQL, Power BI, Tableau, Python, R, TensorFlow, Cloud based data intelligence and analytics services and tools like SQL Server Analysis Services (SSAS), Data Bricks, Azure Data Factory, AWS Glue. Work directly or indirectly with clients to understand and define requirements, work with other application development teams on various projects. Work with the team of developers. Take directions well from the Team lead/Architect and work together with him/her to contribute to all development, production, and support activities. Participate and work using Agile methodologies like Scrum and conduct the Scrum events appropriately. other duties as may arise from time to time and as may be assigned to the employee. Ensure and implement the best possible performance, quality, and responsiveness of applications. Work together with the team in development and testing efforts. Identify bottlenecks and bugs, and devise solutions to mitigate and address these issues. Exhibit flexible and proactive working style with strong personal ownership of problem resolution. Work to ensure deadlines are met.

Design and deliver Power BI dashboards, migrate from Tableau, automate data prep, lead analysts, and manage end-to-end delivery with cross-functional teams using Agile and stakeholder collaboration. Required Candidate profile Strong in Power BI, Tableau migration, data modeling, and automation. Skilled in stakeholder management, Agile delivery, and mentoring. Proactive, analytical, and cross-functional team player.

Primary Skills SQL (Advanced Level) SSAS (SQL Server Analysis Services) Multidimensional and/or Tabular Model MDX / DAX (strong querying capabilities) Data Modeling (Star Schema, Snowflake Schema) Secondary Skills ETL processes (SSIS or similar tools) Power BI / Reporting tools Azure Data Services (optional but a plus) Role & Responsibilities Design, develop, and deploy SSAS models (both tabular and multidimensional). Write and optimize MDX/DAX queries for complex business logic. Work closely with business analysts and stakeholders to translate requirements into robust data models. Design and implement ETL pipelines for data integration. Build reporting datasets and support BI teams in developing insightful dashboards (Power BI preferred). Optimize existing cubes and data models for performance and scalability. Ensure data quality, consistency, and governance standards. Top Skill Set SSAS (Tabular + Multidimensional modeling) Strong MDX and/or DAX query writing SQL Advanced level for data extraction and transformations Data Modeling concepts (Fact/Dimension, Slowly Changing Dimensions, etc.) ETL Tools (SSIS preferred) Power BI or similar BI tools Understanding of OLAP & OLTP concepts Performance Tuning (SSAS/SQL) Skills: analytical skills,etl processes (ssis or similar tools),collaboration,multidimensional expressions (mdx),power bi / reporting tools,sql (advanced level),sql proficiency,dax,ssas (multidimensional and tabular model),etl,data modeling (star schema, snowflake schema),communication,azure data services,mdx,data modeling,ssas,data visualization

Experience: 1yr- 5yrs Salary: As per company norms Location: Chinchwad, Pune - Maharashtra Joining: Immediate Industry Type: Education / Training Department: Trainer/ Teaching Faculty Work Mode: Work From Office (Full time Job) Salary: As per the company norms Notice Period : Immediate Job Description : We are looking for an experienced and dynamic Data Science Trainer to join our team. The ideal candidate will be responsible for designing and delivering training sessions on business analytics concepts, tools, and applications. You will equip learners with the skills needed to interpret data, derive insights, and make strategic business decisions. Skills: Power BI, Advance Excel, SQL, Machine learning , Artificial Intelligence, Python Responsibilities and Duties - Devise technical training programs according to organizational requirements. Produce training schedules and classroom agenda & execute training sessions Determine course content according to objectives. Prepare training material (presentations, worksheets etc.) Keep and report data on completed courses, absences, issues etc. Observe and evaluate results of training programs. Determine overall effectiveness of programs and make improvements.. (Note: PART TIME WORKER PLEASE DO NOT APPLY) Interested candidates can drop their CV on apardeshi@sevenmentor.com OR contact on 8806178325

Location : Pune (FC Road ] Experience: 2- 6YRS Qualification : Bachelors degree in Computer Science, Engineering, or related field WORK Mode : OFFICE MANDATORY Salary: As per the company norms Notice Period : Immediate Job Description : We are looking for an experienced and dynamic Business Analytics & Data Analytics Trainer to join our team. The ideal candidate will be responsible for designing and delivering training sessions on business analytics concepts, tools, and applications. You will equip learners with the skills needed to interpret data, derive insights, and make strategic business decisions. Skills: Business Analytics, Data Analytics, Power BI, Advance Excel, SQL, Tableau, Python, Jira Tool, Responsibilities and Duties - Deliver engaging and interactive training sessions on Java full stack development. Develop and update curriculum and training materials. Provide hands-on coding exercises and projects to reinforce learning. Assess student performance through quizzes, assignments, and projects. Stay updated with the latest trends and technologies in Java full stack development. Provide one-on-one mentorship and support to students. Collaborate with other trainers and staff to ensure a cohesive learning experience. Web Development . (Note: PART TIME WORKER PLEASE DO NOT APPLY) Interested candidates can drop their CV on aishwaryapawar@sevenmentor.com OR contact on 9503389804

Total Experience 58 years with 4+ years of relevant experience Skills Proficiency on Databricks platform Strong handson experience with Pyspark , SQL, and Python Any cloud Azure, AWS, GCP Certifications (Any of the following) Databricks Certified Associate Developer for Spark 3.0 Preferred Databricks Certified Data Engineer Associate Databricks Certified Data Engineer Professional Mandatory Skill Sets Databricks,Pyspark, SQL,Python, Any cloud Azure, AWS, GCP Preferred Skill Sets Related Ceritfication Databricks Certified Associate Developer for Spark 3.0 Preferred Databricks Certified Data Engineer Associate Databricks Certified Data Engineer Professional Education Qualification BE, B.Tech, ME, M,Tech, MBA, MCA (60% above) Education Degrees/Field of Study required Master of Engineering, Master of Business Administration, Bachelor of Engineering Degrees/Field of Study preferred Required Skills Microsoft Azure Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Coaching and Feedback, Communication, Competitive Advantage, Continuous Process Improvement, Creativity, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Embracing Change, Emotional Regulation, Empathy, Inclusion

As a member of the NAND & Drive Qualification team, you'll be actively engaged in all phases of the product development cycle with a focus on demonstrating the capabilities of PURE s DFMs. As part of the drive qualification group, your leadership in areas of SSD/NVMe/ OCP spec test, troubleshooting, and analysis of results will be utilized to drive progress with qualification efforts. What you'll be doing: Incorporating tests into a common framework Develop automation support for new test Developing centralized hosting of test output Visualization support for test Support development of metrics Architecture for the above, code for the above, maintenance, effectiveness An overview of your responsibilities includes; Developing Automation Frameworks for SSD Qualification Test suites, Architect & Develop unified test frameworks that Integrate out of the box Test Suites for NVMe/OCP/other SSD standards along with In-house Test suites for SSD Qual Develop Automation support for deploying new SSD Qual tests at scale Use your strong scripting language skills to develop and automate tests and minimize qualification testing cycles Proactively define/develop new SSD qualification tests targeting specific SSD management features and functions, new requirements, exposure to field issues etc Develop, maintain and continuously improve the effectiveness & efficiency of comprehensive qual platform Automated Debug tools to speed up test vs product debug efforts Driving Automation of Data Analysis & Visualization of Qualification test results Develop Automated solutions to Extract, Analyze & Centrally Host Validation data Develop Automated Data Visualization dashboards to help drive Drive Qualification decisions on volume test data at scale Use your background in storage system validation or design to proactively identify, and support the development of metrics Drive improvements in the qualification processes as you observe execution & tool usage Brainstorm methods and procedures to evolve our team s effectiveness Proactively define/develop new SSD qualification tests with focus on OCP spec - features and functions , new requirements, exposure to field issues etc Improve qualification processes that actively enhance efficiency, consistency, reporting and vendor relationships. Participate in various team activities aimed at developing testing process, Perceived as highly skilled In Python based scripting & SW architecture Experienced in leveraging data engineering/science frameworks The ideal candidate would be someone who is a team player and perceived as highly skilled in test development/debugging for hardware/firmware/system validation needs. WHAT you'll NEED TO BRING TO THIS ROLE... 12+ years experience developing software to validate hardware components/systems with strong SW & HW debug skills SW architecture & Solution design experience is desirable Strong knowledge of NAND Flash, Firmware Architecture/Design in Solid State Drive (SSD) or similar storage domain Strong SW Development skills in Python with exposure to OOP; C++ experience is a plus. Knowledge of PCIe/NVMe/OCP, Firmware Architecture/Design in Solid State Drive (SSD) or similar storage domain is a plus Experience in a hardware testing/software testing validation lab for SSDs or Embedded industry segments B.E. or M.E in Electrical Eng, Electronics & Communication Eng, Computer Eng Experience working with complex data models and analysis Experience working at enterprise data storage systems, SSD companies or related component vendors. Experience developing & maintaining CI/CD pipelines for test automation Knowledge/experience with Jenkins & GIT Independent ability to devise, implement, automate and refine qualification methods Strong knowledge of hardware design, storage architectures and storage interfaces Experience with failure modes of flash-based devices WHAT YOU CAN EXPECT FROM US: Pure Innovation : We celebrate those who think critically, like a challenge and aspire to be trailblazers. Pure Growth : We give you the space and support to grow along with us and to contribute to something meaningful. We have been Named Fortunes Best Large Workplaces in the Bay Area , Fortunes Best Workplaces for Millennials and certified as a Great Place to Work ! Pure Team : We build each other up and set aside ego for the greater good

Role: Power BI Developer Exp: 4 + yrs Position: Permanent Location: Nagpur Mode: Work from Office Only. Qualifications: •B.E/B.Tech in any discipline from a government-recognized university or institute or Postgraduate in a relevant subject from a government-recognized university or institute. Skills and Competencies: • Strong knowledge of Power BI and related data visualization tools • Excellent analytical and problem-solving skills • Strong communication and interpersonal abilities • Ability to work collaboratively in a team environment • Proficiency in data modeling, DAX, and Power Query • Experience in developing and deploying Power BI solutions • Attention to detail and commitment to quality • Ability to manage multiple tasks and priorities effectively • Adaptability and willingness to learn new technologies and processes. Key Responsibilities: • Assist in the planning and execution of Power BI projects, from requirements gathering to implementation. • Develop, design, and deploy Power BI dashboards and reports to meet business needs. • Collaborate with stakeholders to understand their data needs and provide actionable insights. • Create and maintain Power BI datasets, reports, and dashboards with high levels of performance and usability. • Ensure data accuracy and consistency across all Power BI reports and dashboards. • Perform data modeling, data transformation, and DAX calculations within Power BI. • Conduct training sessions and workshops for end-users to ensure effective utilization of Power BI tools. • Develop and maintain project documentation, including technical specifications and user guides. • Stay updated with the latest Power BI features, tools, and industry trends to provide innovative solutions. • Provide post-implementation support and troubleshooting for Power BI solutions, ensuring user satisfaction. • Collaborate with IT and data teams to ensure seamless integration and data consistency across systems. • Optimize and enhance existing Power BI reports and dashboards for improved performance and user experience. • Ensure compliance with relevant regulations, standards, and corporate policies in all Power BI activities. • Participate in continuous improvement initiatives to enhance the efficiency and effectiveness of Power BI processes. • Build and maintain strong relationships with clients and stakeholders, addressing their concerns and providing regular updates on project progress.

Job Overview: We are looking for a skilled Python and Data Science Programmer to develop and implement data-driven solutions. The ideal candidate should have strong expertise in Python, machine learning, data analysis, and statistical modeling. Key Responsibilities: Data Analysis & Processing: Collect, clean, and preprocess large datasets for analysis. Machine Learning: Build, train, and optimize machine learning models for predictive analytics. Algorithm Development: Implement data science algorithms and statistical models for problem-solving. Automation & Scripting: Develop Python scripts and automation tools for data processing and reporting. Data Visualization: Create dashboards and visual reports using Matplotlib, Seaborn, Plotly, or Power BI/Tableau. Database Management: Work with SQL and NoSQL databases for data retrieval and storage. Collaboration: Work with cross-functional teams, including data engineers, business analysts, and software developers. Research & Innovation: Stay updated with the latest trends in AI, ML, and data science to improve existing models.

Position Title: Business Data Intelligence Reports To: Functional Head Job Location: Jaipur / Hong Kong Employment Type: Full-Time Salary: Best in Industry Looking from Real Estate firm only Job Summary: The Data Analyst is responsible for collecting, analysing, and interpreting large datasets to support business decision-making. This role requires the ability to generate actionable insights, build data reports, and work with cross-functional teams to optimize business performance. The Data Analyst will collaborate closely with other departments to understand their data needs and deliver data-driven solutions that align with the company's strategic objectives. Key Responsibilities: Data Collection & Management: Collect and aggregate data from various sources, including databases, spreadsheets, people and external platforms. Ensure data integrity and accuracy by organizing, and validating datasets. Develop and maintain databases or data information systems as necessary. Data Analysis: Perform detailed data analysis using statistical techniques to identify patterns, trends, and insights. Utilize data visualization tools to present data in a clear and understandable way for non-technical stakeholders. Analyse large and complex datasets to solve business problems and inform decisions. Reporting & Visualization: Create reports, dashboards, and visualizations to track key performance indicators (KPIs) and business metrics. Present findings to key stakeholders, making recommendations based on data insights. Provide ad-hoc reports and data queries as needed by different teams within the organization. Collaboration with Teams: Work closely with business units (Sales, finance, operations, etc.) to collect data on timely basis. Work closely with the existing MIS team to understand, analyse and interpret the data. Help design and implement new analytical tools and processes that improve data-driven decision-making across the company. Predictive Analytics & Forecasting: Use statistical models and machine learning techniques to forecast trends and predict future outcomes. Assist in developing predictive models to support strategic planning and operational decisions. Data Governance & Compliance: Ensure adherence to data privacy regulations and best practices in data security. Work with legal and compliance teams to ensure data is used ethically and in accordance with company policies. Process Improvement: Identify opportunities for process improvement through data-driven insights. Recommend data collection methods and tools to enhance the quality and efficiency of business processes. Data Quality Assurance: Regularly review and assess the quality of data. Implement processes for ongoing data validation and verification to minimize errors. Qualifications: Education: Bachelors/Masters degree in Data Science, Computer Science, or a related field. Experience: 3 - 6+ years of experience in data analysis or a related field. Skills: Experience with statistical analysis and predictive modelling. Ability to interpret complex data sets and translate findings into actionable business insights. Strong communication and presentation skills, capable of conveying data findings to both technical and non-technical audiences. Add On: Strong proficiency in data analysis tools such as Excel, SQL, Python, R, and data visualization tools like Power BI, Tableau or Oracle BI. Knowledge of databases and experience with relational databases (e.g., MySQL, PostgreSQL ).

NAB is looking for Senior Analyst to join our dynamic team and embark on a rewarding career journeyThe Senior Analyst plays a crucial role in driving data-driven decision-making processes within the organization. This position involves analyzing complex data sets, generating actionable insights, and providing strategic recommendations to support key business initiatives.Key Responsibilities:Data Analysis:Conduct in-depth analysis of large and complex datasets to extract meaningful insights.Utilize statistical and data visualization tools to present findings in a clear and concise manner.Strategic Planning:Collaborate with cross-functional teams to understand business objectives and provide analytical support for strategic initiatives.Develop and maintain models to support forecasting, budgeting, and other planning processes.Reporting and Dashboards:Design and create comprehensive reports and dashboards to track key performance indicators (KPIs) and metrics.Automate reporting processes to improve efficiency and accuracy.Trend Analysis:Identify trends and patterns in data to help anticipate opportunities and challenges.Provide insights on market trends, competitor analysis, and industry benchmarks.Decision Support:Assist senior management in making informed decisions by providing data-driven recommendations.Evaluate the impact of proposed strategies on business outcomes.Process Improvement:Identify areas for process improvement and efficiency gains based on data analysis.Collaborate with teams to implement changes and measure the impact.

Infinite Computer Solutions India Pvt. Ltd. is looking for Billops Data analyst to join our dynamic team and embark on a rewarding career journey Managing master data, including creation, updates, and deletion. Managing users and user roles. Provide quality assurance of imported data, working with quality assurance analysts if necessary. Commissioning and decommissioning of data sets. Processing confidential data and information according to guidelines. Helping develop reports and analysis. Managing and designing the reporting environment, including data sources, security, and metadata. Supporting the data warehouse in identifying and revising reporting requirements. Supporting initiatives for data integrity and normalization. Assessing tests and implementing new or upgraded software and assisting with strategic decisions on new systems. Generating reports from single or multiple systems. Troubleshooting the reporting database environment and reports. Evaluating changes and updates to source production systems. Training end-users on new reports and dashboards. Providing technical expertise in data storage structures, data mining, and data cleansing.

Job Title People Reporting SME Job Description Job title: People Reporting SME Your role: As People Reporting SME you will ensure valuable people insights are delivered towards global stakeholders across Philips. The role requires great analytical skills, stakeholder & consulting skills, data visualization skills and advanced Workday Reporting skills. Job Responsibilities: Responsible for delivering people insights via standardized dashboards, reports and on demand people insights queries. Tackles a wide range of moderate problems, evaluates identifiable factors during data review, engages in detailed analysis to assess and address diverse challenges effectively and ensures informed decision-making. Performs advanced data analysis and detailed reports specifically designed to meet the strategic requirements of the People Function, ensuring insights are actionable and align with business objectives Conduct data analyses and reporting through available People systems to better inform, track, and improve People planning and decision-making. Collaborate with stakeholders to determine impactful measures to inform, deliver and implement solid People Reporting capabilities Contribute to strategic projects to strengthen People insights and considerations. Determine and continuously improve best practices in People Reporting, with a critical focus on Core HR Data (Workday), Workforce planning (Workday Adaptive) and Learning (CSOD). Design and deliver clear frequent workforce reports, insights, analysis and presentations to relevant stakeholders, either pro-actively or based on request Youre the right fit if: Workday reporting experience is must Advanced, Matrix & Composite Reports Workday Adaptive PRISM Creation / Management Dashboards / Discovery Boards Calculated Fields Report Integrations Reporting track record - HR Reports & Analytics Functional knowledge of HR processes is a must Passionate about working with HR data Ability to collect, link and interpret data, create executive summaries, deliver business insights and suggest quantifiable improvements in processes and consumer satisfaction. Ability to translate data into business insights through strong analytical and conceptual skills Excellent consulting skills, ability to engage with various stakeholders providing strategic, tactical and operational insights based recommendations Excellent project management skills, including the ability to work on several projects simultaneously by setting the right priorities Excellent presentation, and communication skills - both verbal and written, fluent English (speaking and writing skills) Capability to visually represent conclusions and the ability to tell the story behind the numbers Results and customer oriented, organized, and able to prioritize Continuous improvement mindset Able to work independently and as part of a team Minimum required Education: Bachelors/ Masters Degree in Human Resources (HR), Organizational Development, Digital Transformation, Data Analysis and Visualization or equivalent. Required Experience: 7+ years of experience with Workday reporting, data Analysis and Reporting.

Need to Have: Comprehensive Understanding of core functions and processes within Business Vertical (Finance) Educational background with Majors in Finance during UG/PG Has been involved in Multiple roles within Business Vertical and across Verticals Prior Hands-on experience in executing Digitalization and Transformative Projects. Knowledge of Digital Landscape, Process Re-Engineering and Digital Technologies Self-Reliant and capable of excelling in an individual contributor role. Proficient in Navigating Ambiguity and managing uncertain scenarios