34 Data Visualizations Jobs

We are looking for a highly skilled and analytical Data Scientist to join our team. You will be responsible for analyzing large datasets to extract actionable insights, build predictive models, and support data-driven decision-making across the organization. The ideal candidate should be passionate about data, statistical analysis, and applying machine learning techniques to solve real-world business problems. Key Responsibilities: Collect, clean, and preprocess large datasets from multiple sources. Analyze complex data sets to identify patterns, trends, and opportunities. Design and implement machine learning models to solve business challenges. Communicate findings through data visualizations, dashboards, and reports. Collaborate with cross-functional teams (engineering, product, marketing) to implement data solutions. Monitor and maintain model performance and retrain when necessary. Stay updated on the latest developments in AI/ML and data science tools. Required Skills and Qualifications: Bachelors/Masters/Ph.D. in Computer Science, Statistics, Mathematics, Data Science, or a related field. Strong proficiency in Python or R, along with libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch. Experience with data querying languages such as SQL. Good understanding of statistical analysis, machine learning, and data mining techniques. Location: Remote- Bengaluru,Hyderabad,Delhi / NCR,Chennai,Pune,Kolkata,Ahmedabad,Mumbai

Role & responsibilities We are seeking a highly skilled Power BI Developer with 4 years of experience to join our team. The ideal candidate will be responsible for designing and developing insightful, interactive dashboards and reports while collaborating with business teams to meet analytical needs and drive data-driven decision-making. Key Responsibilities: Develop and maintain interactive Power BI dashboards and reports based on business requirements. Collaborate with stakeholders to gather, analyze, and translate data requirements into effective visualizations. Create efficient and optimized data models and integrate them with Power BI reports. Connect to various data sources (SQL, Excel, APIs, etc.) and ensure seamless data extraction and transformation using Power Query and DAX. Optimize Power BI solutions for performance and scalability. Implement and manage row-level security (RLS) and other data security measures. Maintain technical documentation related to Power BI reports and workflows. Stay updated with the latest Power BI and Microsoft analytics features and best practices. Key Skills and Requirements: Minimum of 4 years of experience in Power BI development. Proficiency in building interactive dashboards, reports, and visualizations. Strong understanding of DAX (Data Analysis Expressions) and Power Query. Hands-on experience with SQL for data extraction and transformation. Familiarity with data modeling concepts and techniques. Experience with integrating Power BI with other tools like Excel, Azure Data Lake, and APIs. Knowledge of Microsoft Power Platform (Power Automate, Power Apps) is a plus. Strong analytical, problem-solving, and communication skills. Certification in Power BI or related Microsoft tools (preferred). Preferred candidate profile

Hiring Oracle Analytics Cloud (OAC)/FDI Specialists (3–8 yrs) for Hybrid roles across USI (Hyd, BLR, Mum, Gur, Pune, Chennai, Kolkata). Must have strong OAC, SQL/PLSQL, RPD, Data Viz, ODI, Oracle Cloud skills. Immediate joiners preferred.

Job Description: We are looking for a BI developer with experience in building interactive dashboards using Amazon Quick sight. The candidate should have strong SQL skills, good understanding of data visualization best practices and ability to work with multiple data sources. Minimum 4-5 years of experience Strong experience with Amazon QuickSight is required. Strong SQL skills are required Experience in PowerBI is required. Work Location: Sohini Tech Park, Hyderabad, Candidate should be comfortable working 5 days Looking for candidates who can start within a week from date of offer (2-3 rounds of interview process including 1 client round)

We are looking for a seasoned Data Architect (Senior Engineer) to lead the design and implementation of scalable, secure, and privacy-compliant data architectures that support feedback-driven AI systems.

This position will be part of Sapiens Digital (Data Suite) division, for more information about it, click here: We are looking for an enthusiastic Data Scientist with a foundational understanding of data science principles and an interest in the insurance industry. The role involves working alongside senior data scientists to analyze data, build models, and generate insights. What youll do: Data Collection & Preprocessing Assist in gathering, cleaning, and preprocessing data from various sources, ensuring data quality and consistency. Conduct exploratory data analysis (EDA) to identify trends, patterns, and insights within the data. Model Development & Evaluation Building predictive models to enhance accuracy. Test and evaluate basic machine learning models, including linear and logistic regression, decision trees, and clustering algorithms. Reporting & Visualization Create clear and informative data visualizations and reports to communicate insights to business stakeholders. Tracking key metrics and performance indicators related to business objectives. Cross-functional Collaboration Collaborate with business and technical teams to understand project requirements and contribute to the design of data-driven solutions. Participate in team meetings, brainstorming sessions, and discussions on data science projects and initiatives. Research & Learning Stay updated on the latest trends and tools in data science, machine learning, and the insurance industry. Participate in ongoing training and development programs to enhance technical skills and industry knowledge. What to Have for this position. Must have Skills. Education: Bachelors degree in Data Science, Statistics, Mathematics, Computer Science, or a related field. A Masters degree is a plus. Experience : 4+ years of experience in data science or analytics Basic Industry Knowledge: General understanding of insurance concepts (e.g., policies, claims, risk, customer lifecycle) is desirable but not required. Insurance Data Familiarity: Some experience working with structured data (e.g., customer demographics, policy details) and an eagerness to learn about the specific types of data used in the insurance industry. Predictive Models: Exposure to basic predictive modeling techniques such as regression, classification, forecasting or clustering. Experience with insurance-specific models (e.g., claims prediction, risk assessment) is a plus. Data Preparation: Knowledge of data cleaning and preprocessing techniques, with experience in handling datasets to prepare them for analysis. Programming Skills: Proficiency in Python for data analysis, with familiarity in using libraries such as Pandas, NumPy, and Scikit-learn. Data Manipulation: Basic skills in SQL for querying and extracting data from databases. Statistical Knowledge: Understanding of fundamental statistical concepts, including distributions, probability, hypothesis testing, and descriptive statistics. Required Soft Skills: Curiosity & Willingness to Learn : Enthusiastic about learning new concepts, techniques, and industry-specific knowledge in the insurance domain. Problem-Solving Skills : Ability to approach challenges analytically and think critically about data and project requirements. Attention to Detail : Keen eye for detail in data handling and model development to ensure high-quality outcomes. Communication Skills : Clear and concise communication skills, with the ability to present findings and insights effectively. Team Collaboration : Willingness to work collaboratively within a team, receiving and applying feedback from senior team members.

Are you looking for a stable job with great benefits and pay? Consider becoming part of the Avient team! We know your time is valuable and you have a lot of job ads to review. Let us break down the important details! Position Summary Analytics Analyst: Our Avient IT team is seeking an Analyst to be part of a new analytics platform being developed for our global organization. In this role, you will focus on expanding our Snowflake data warehouse, leveraging your robust SQL skills to move analytics data from a raw state into a refined, analytics-ready state where it will be consumed by end users. This position supports a self-service analytics model by delivering well-defined and transformed datasets that provide consistency in reporting, facilitate efficient data mining, and help our business partners generate insights. Essential Functions: Collaborate with business associates and other IT resources to understand analytic needs, including localizations required by our global business. Translate those needs into technical solutions that properly move data through the Snowflake landscape. Maintain relevant technical documentation to ensure streamlined support and knowledge transfer within areas of responsibility. Support those processes as needed going forward. Prepare and execute unit and integration testing. Support user acceptance testing Provide hypercare support after each go-live. Troubleshoot and resolve analytic issues impacting the business. Other duties and projects as assigned. QUALIFICATIONS: Education and Experience: Bachelors of Science degree in Computer Science, Business, Information Systems or related business field required. 4+ years of experience in Analytics technical roles. Snowflake and SQL experience required. Experience with Qlik Replicate to ingest data to Snowflake is preferred. Experience with Agile methodology and Jira software is preferred. Ability to work independently and as a part of a global team is required. Ability to create and maintain robust documentation of IT processes is required. Strong collaboration skills within a team, across IT, and with business users is required. Strong troubleshooting and problem solving skills is required. Successful candidates will be driven to succeed while fostering a great place to work. Physical Demands : Vacancy located in Pune ,Kharadi location. About Us: Our purpose at Avient Corporation is to be an innovator of materials solutions that help our customers succeed, while enabling a sustainable world. Innovation goes far beyond materials science; its powered by the passion, creativity, and diverse expertise of 9,000 professionals worldwide. Whether youre a finance wizard, a tech enthusiast, an operational powerhouse, an HR changemaker, or a trailblazer in materials development, youll find your place at Avient. Join our global team and help shape the future with sustainable solutions that transform possibilities into realities. Your unique perspective could be the key to our next breakthrough! Avient Leadership Behaviors: We believe that all of our global employees are leaders and that the six most important behaviors for driving our strategy and culture are the same no matter if an employee is a leader of self, a leader of others, or a leader of the business. By playing to win, acting customer centric, driving innovation and profitable growth, collaborating seamlessly across Avient, and motivating and inspiring and developing others and yourself you will accelerate your ability to achieve Avient s strategic goals, to meet our customer needs, and to accomplish your career goals.

Oracle Analytics Cloud (OAC)/ Fusion Data Intelligence (FDI) Specialist: Excellent development skills utilizing all aspects of OAC Strong knowledge of RPD, OAC reports, Data Visualizations, SQL Strong knowledge of SQL and PL/SQL is foundational to optimize query performance Experience with one or more relational databases on Oracle Exposure to Oracle cloud migrations and OBIEE upgrades Experience in developing applications on Oracle Cloud infrastructure Experience working with ODI tool Fair understanding of the agile development process Exposure to Oracle Cloud scripts using CURL Excellent understanding of Oracle Cloud platform and services Familiarity working with DevOps tools, deployment and orchestration technologies Familiarity in developing applications on OAC Cloud infrastructure. Familiarity with Business Continuity and Disaster Recovery design and implementation for cloud infrastructures

Power BI Developer to Collaborate with cross-functional teams to deliver data-driven insights and ensure data accuracy. Ideal candidate has strong skills in DAX, Power Query, data modeling, and experience integrating with various data sources.

Greetings Org :SAASWORX Website : www.saasworx.ai Location : Mumbai Role : Tableau Developer. Key Responsibilities: 1.Dashboard Development: o Design and create visually appealing and interactive Tableau dashboards and reports. Translate business requirements into effective data visualizations. 2.Data Analysis: Analyze complex datasets to identify trends, patterns, and insights. o Perform data validation and ensure data quality and accuracy. 3.Stakeholder Collaboration: Work closely with business stakeholders to understand their requirements and deliver insights that drive decision-making. Provide training and support to end-users on Tableau functionalities and best practices. 4. Data Management: Connect to various data sources, including databases, spreadsheets, and cloud services. Optimize data extraction and transformation processes to enhance performance. 5.Continuous Improvement: Stay updated with the latest Tableau features and industry trends. Propose and implement enhancements to existing dashboards and reporting processes. Qualifications: Education: Bachelor's degree in Computer Science, Data Science, Statistics, Business Analytics, or a related field. Experience: Minimum of 3 years of experience in data visualization and analysis using Tableau. o Proven experience in creating complex and dynamic Tableau dashboards. o Experience with SQL and database management. Skills: Proficiency in Tableau Desktop, Tableau Server, and Tableau Prep. Strong analytical and problem-solving skills. Excellent communication and interpersonal skills. Ability to work independently and as part of a team. Knowledge of data warehousing concepts and ETL processes. Preferred: Experience with other data visualization tools like Power BI or QlikView. Certification in Tableau (e.g., Tableau Desktop Specialist, Tableau Desktop Certified Associate).

The Team: The Data Science and Modelling group is responsible for developing and automating, in collaboration with SPGCIs analysts, processes and models that support the production of commodity analytics across the spectrum from production to refining/transformation and demand. We are a multi-disciplinary team with a range of experience and specialties building solutions in a dynamic, agile manner. The Impact: This role has a core impact to our data science and modelling group responsible for enriching datasets and adding value to our analytics content through close collaboration with onsite and offshore teams to deliver Analytics data and modelling objectives. In this role you will gain a strong understanding of various commodities and Commodity Insights businesses to design and implement advanced strategic solutions and migrate the legacy processes into new technologies that enable data governance, automation, data quality monitoring and maintenance. Responsibilities: Create commodity models, using predictive modelling and other statistical and econometric techniques. Understand, implement, manage and maintain analytical solutions & techniques independently. Collaborate and coordinate with data, content and product management teams and provide analytical assistance for various commodity datasets Execute with discipline and deliver appropriate documentation Work closely with various stakeholders to collect, clean, model and visualize datasets. Extract hidden value insights and enrich accuracy of the datasets. Leverage technology and automate workflows creating modernized operational processes aligning with the team strategy. What Were Looking For: S&P Global Commodity Insights is seeking an experienced analyst/modeler who can both translate subject matter analyst expertise as well as develop new insights to the development of commodity-related models. This role will closely work with a team of Data Analysts, Data Scientists and Analytics customers to implement various analytical solutions and automate workflows. This role will be expected to lead projects, often coordinating and directing the efforts of more junior analysts. You will often have responsibility for projects from cradle to grave, developing or coordinating work from concept to implementation to turnover/retirement. Less-senior analysts/modelers with the potential to grow into the leadership role will be considered. Basic Qualifications:? Bachelors degree in Engineering, Mathematics, Economics, Computer Science, or related disciplines Overall 5+ years of e xperience with at least 3 years of work on end-to-end analytical modelling projects : problem scoping, data gathering, modelling, insights, visualizations, monitoring and maintenance Demonstrated ability to build constructive working relationships with various technology partners, stakeholders and other internal/ external users Strong e xperience with data automation and Machine Learning Strong written and verbal communication skills in English Experience using SQL, complex Excel, Pyspark and Python . Preferred Requirements:? Masters degree, preferably in economics, engineering, or similar field. Good e xperience working as an analyst in the commodity space is preferred Experience building high quality solutions and leading processes in an Agile development environment Experience building data science solutions in Databricks .

The Opportunity: Avantor is looking for a dynamic, forward-thinking, and experienced Sr. Supply Chain Data Analyst, who will be responsible for delivering results against some of the most complex business and technology initiatives. This role will be a full-time position based out of IND- Coimbatore. If you are passionate about solving complex challenges and driving innovation let's talk! Our organization is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. The Global Supply Chain Data Analyst II Interprets data and turns it into information which can offer ways to improve a business, thus affecting business decisions. Data Analysts gather information from various sources and interpret patterns and trends, providing a clear picture of the business landscape. This role will contribute to numerous BI projects in various stages of the product lifecycle. The successful candidate possesses the energy to deliver tasks individually and within the team utilizing various business intelligence (BI) solutions, including PowerBi dashboards, advanced SQL, skillset developing reporting solutions. MAJOR JOB DUTIES AND RESPONSIBILITIES (List in order of importance) Quickly demonstrate understanding of business use cases and implications of various data structures and visualization options Translates business requirements into technical requirements to implement complex solutions. Manage Project Priorities and deliverable using Agile methodology in JIRA platform. Analyze data systems and develop detailed specifications for implementation and documentation. Serve as the Subject Matter Expert in reporting and automation solutions and consult business stakeholders. Mentors, collaborates with and advises team members on PowerBi, SQL and BI and other reporting solutions. Build and/or manage complex data sets and dataflows (ex. PowerBi dataflows, Snowflakes Data Warehouses, AWS, Azure) Author complex automated or manual reports, KPIs, and dashboards. Provide support to report authors on visualization usage, data modeling, DAX and Power Query. Designs, builds, tests, implements, maintains, and supports BI deliverables with a focus on Microsoft Power BI. Understand business reporting specifications and dataset needs, relating technical requirements to architectural and other resources (i.e., SQL) Mix great design and user experience to deliver easy to consume reports and data visualizations that users love. Partner with IT to drive innovation and key projects to find new best practices across the supply chain operations. Serve as technical expert on SAP and SAP APO data sources to facilitate reporting using PowerBi, QlikView or similar data visualization tools. Production and distribution of daily, weekly, and monthly reports and dashboards. Advancing analytical maturity toward producing Predictive analytics CHARACTERISTICS Know how and when to use tools available for a given situation and can explain the reasons for this choice. Strong capabilities in collecting, organizing, and analyzing significant amounts of information with attention to detail and accuracy. Ability to look at numbers, trends, and data and come to new conclusions based on the findings. Strong ability to translate complex findings and data in a comprehensible manner. Precision and attention to detail in analysis to ensure accuracy of their insights and decisions. Ability to use data to identify and solve business problems. Comfortable working in newly forming, ambiguous areas where learning and adaptability are key skills. Must be able to successfully manage multiple tasks, projects, and responsibilities. Demonstrated ability to work in cross-functional teams as well as independent setting. Experience with Agile/Scrum development methodology preferred Establish and lead transformative processes across an organization to establish consistency and efficiency. Manage a variety of viewpoints to build consensus and create positive outcomes for all parties. QUALIFICATIONS (Education/Training, Experience and Certifications) Bachelor's Degree (Math, Economics, Statistics, Engineering, Business, Computer Science, or similar) required. Master's Degree (preferred) Minimum 5+ years of performing system improvements and developing automated reporting solutions and data visualizations. Excellent communication skills and Fluent in English Ability to work efficiently and effectively in a virtual environment. Able to effectively work on multiple projects. 3+ years of experience in building and optimizing large and complicated SQL statements. 3+ years of experience using Microsoft Power BI as an enterprise reporting solution. Knowledge and experience on how to grow and integrate Power BI services by designing and deploying workspaces, data models, app tiers, gateways, report services, dashboard support, Team's integration, and Mobile app deployment is preferred. Certification or significant progress towards completing one or more of the following Microsoft certification exams preferred: Exam DA-100: Analyzing Data with Microsoft Power BI Exam 70-778: Analyzing and Visualizing Data with Microsoft Power BI KNOWLEDGE SKILLS AND ABILITIES (Those necessary to perform the job competently) Advanced excel skills including pivot tables, lookups, logical functions, and VBA. Strong experience with PowerBi, Qlik, or similar data visualization tools. Strong experience with MS Access database. Expert in creating and optimized SQL statements, CTEs, Stored Procedures, Functions. Strong knowledge in creating data models and complex SQL statements and optimization in Snowflake. Experience in programming languages such as Python or R is preferred. Ability to interact and communicate complex concepts with all levels of the organization. Strong analytical abilities Excellent communication skills Strong multi-tasking skills ENVIRONMENTAL WORKING CONDITIONS & PHYSICAL EFFORT (Under Typical Positions) Typically works in an office environment with adequate lighting and ventilation and a normal range of temperature and noise level. While examining the processes at a warehouse, associate could be exposed to an industrial environment: i.e. the associate may work near loud moving mechanical machinery and maybe exposed to dust, fumes, or gases. Work assignments are diversified. Examples of past precedent are used to resolve work problems. New alternatives may be developed to resolve problems. A frequent volume of work and deadlines impose strain on routine basis. Minimal physical effort is required. Work is mostly sedentary but does require walking, standing,bending, reaching, lifting or carrying objects that typically weigh less than 10 lbs. The above statements are intended to describe the general nature and level of work being performed by people assigned to this job. They are not intended to be an exhaustive list of all responsibilities, skills, efforts or working conditions associated with a job.

Collaborate with department heads to define data needs and ensure consistent metric capture. Apply statistical tools to analyze data, identify trends & create clear visualizations using Power BI. Identify bottlenecks and improvement opportunities, Required Candidate profile We are looking for candidates from FMCG background with advanced Exel Knowledge and other data analysis tools like power BI, tableau etc.. Perks and benefits Best in the industry

Data analysts import, inspect, clean, transform, validate, model, or interpret collections of data with regard to the business goals of the company. They ensure that the data sources and repositories provide consistent and reliable data. analysts use different algorithms and IT tools as demanded by the situation and the current data. They might prepare reports in the form of visualizations such as graphs, charts, and dashboards. Job Description - Grade Specific The role combines leadership, technical expertise, and project management skills to ensure the successful delivery of data analysis projects and the development of a high-performing data analyst team. They play a critical role in leveraging data to drive business growth, optimize processes, and enable informed decision-making across the organization.

Data analysts import, inspect, clean, transform, validate, model, or interpret collections of data with regard to the business goals of the company. They ensure that the data sources and repositories provide consistent and reliable data. Data analysts use different algorithms and IT tools as demanded by the situation and the current data. They might prepare reports in the form of visualizations such as graphs, charts, and dashboards. Job Description - Grade Specific The primary responsibilities revolve around collecting, cleaning, analyzing, and reporting on data to support decision-making processes. Skills (competencies)

Manager, Research Data & Operations Who you are: Do you have the ability to help businesses understand their consumers or clients? Does collecting and analyzing information to identify issues excite you? We just might have a position for you! Spiceworks Ziff Davis is on the hunt for an experienced Researcher to embark on a never-ending quest. What youll do: As a SWZD Research Data & Operations Manager, you’ll be tasked to leverage fact-based research to help clients better market their software and services and make informed decisions about their product and marketing strategies. As an Analyst, your job is to collect, analyze, and present survey data and generate insights to understand what's relevant and what's not. What will be your responsibilities? Design and implement custom surveys in collaboration with Research Directors and survey vendors. Analyze business outcomes driven by technology adoption and create best-in-class data cuts . Create clear, engaging data visualizations in PowerPoint that support client decision-making. Develop insightful reports and presentations , translating complex data into actionable takeaways. Synthesize research insights to create compelling and credible narratives for various marketing assets , including articles, whitepapers, infographics, ebooks, videos, and more. Gather and evaluate research vendor bids while monitoring costs to ensure invoices align with project budgets. Manage external research vendors to ensure timely and high-quality deliverables. Oversee data collection processes to ensure quality and accuracy . Continuously explore new ways to enhance research quality and improve processes. Partner with cross-functional teams — including marketing, sales, content, and project management — to seamlessly integrate research into broader strategic programs. What does it take to do this job? 4+ years of relevant market research, statistics, and survey experience Hands-on experience designing online and phone-based surveys (Qualtrics is a plus!) Strong writing and presenting skills Strong data analysis skills, particularly in Excel Experience managing research vendors for sampling and translations Familiarity/acumen with business software (i.e. Microsoft 365, Google Workspace, Salesforce, Wrike, etc.) Excellent problem-solving, writing, and presentation skills A proactive mindset with a passion for uncovering insights Understanding of technology vendor landscape and/or experience with technology marketing Ability to work across disciplines and collaborate with multiple teams Interest in managing and mentoring other researchers as our team grows Allinterviewswilltakeplaceoverphoneorvideoconference. Spiceworks Ziff Davis is a safe, inclusive workplace for people of all backgrounds and walks of life. We strongly encourage you to apply if you are from a marginalized or underrepresented group, particularly in the technology industry. Some candidates may see a long list of job requirements and feel discouraged because they don't match every single bullet point - we suggest, please apply anyway. We're flexible on location wherever possible - we are a Work From Anywhere company. We don't believe in a "perfect" candidate because we believe in our core value, "Evolve and Adapt Quickly". If you believe this is a role that you'll be excited to work in every day, want to be a part of a culture like ours, and will be relentless about pushing boundaries to succeed, please apply. Who we are: Spiceworks Zi Davis (SWZD) is a trusted global marketplace thatconnectstechnology buyersandsellerswiththemostactionableandpreciseintentdata.Weareuniquelypositionedtooer techbrands unmatched visibility into accounts that aretrulyin-market,byleveragingourscale,quality and diversity of intent data. With unparalleled access totheworld’smostinfluentialtechnologybuyers throughacombinationoffirst-party(Community,Tools,Editorial)andthird-partyintentdata,SWZDisa leader in intent-backed, intelligent, omnichannel marketing.

4+ years of experience in Power BI data modelling and visualizations. In-depth understanding of Power BI deployment strategies for mid to large enterprises. Proven experience in migrating from legacy BI systems to Power BI. Prior experience with Qlik Sense is preferred. Excellent problem-solving skills and the ability to work in a fast-paced environment

Data analysts import, inspect, clean, transform, validate, model, or interpret collections of data with regard to the business goals of the company. They ensure that the data sources and repositories provide consistent and reliable data. Data analysts use different algorithms and IT tools as demanded by the situation and the current data. They might prepare reports in the form of visualizations such as graphs, charts, and dashboards. Job Description - Grade Specific The roles plays a critical role in leveraging data analysis to provide insights and recommendations to the stakeholders. Technical skills combined with consulting skills to support decision-making, drive business growth, and deliver value through data-driven insights.

Role: Power BI Developer - Client Facing Experience Required: 35 Years Location: Remote, India Qualification: B.Tech / M.Tech / BCA / MCA About Enate Enate is on a mission to make every service run like clockwork. Our orchestration and AI solution has been purpose-built by experts to tackle the complexities of service delivery. We orchestrate work across teams, systems and workers so that businesses can run smoother operations at scale. Why join us? We're a global software brand at the intersection of technology and business services without the chaos of a typical start-up. You'll join a friendly, no-ego team where people support each other and every voice is heard. You can work remotely from anywhere in India. We also get together for global retreats and team socials. We think we're a great workplace, but don't just take our word for it. Check out our 4.8 rating on Glassdoor and read what Enate employees have to say. About the Opportunity Are you seeking a role that accelerates your career while offering exposure to a fast-growing global SaaS company? It is your chance to make a real impact. We seek a dynamic and detail-oriented Power BI Developer with strong technical and analytical skills who thrives in a client-facing environment. The ideal candidate will possess deep experience in Power BI development, business reporting, and data analytics. They will work closely with stakeholders and business teams to translate complex data into clear, actionable insights and visualisations. Key Responsibilities: Collaborate with clients and internal stakeholders to gather reporting requirements and translate them into scalable BI solutions. Develop, enhance, and migrate Power BI reports, dashboards, and data models. Design and implement custom datasets using advanced SQL queries and optimise for performance. Connect to various data sources, including on-premises servers, cloud platforms(Azure, AWS), Excel, CSV, and other file formats. Utilise Power BI Desktop, Gateway, Service, and Report Server for end-to-end report development and deployment. To transform, clean, and model data, write advanced DAX expressions and Power Query (M) scripts. Implement static and dynamic Row Level Security (RLS) to control data access. Optimise report performance and handle large datasets efficiently. Provide technical leadership and guidance to clients during data migration or upgrade initiatives. Troubleshoot data discrepancies, resolve data quality issues and support ad-hoc analytical requests. Create comprehensive documentation and conduct user training/workshops as required. Required Skills and Qualifications: Proven experience as a Power BI Developer (minimum 3 years). Proficiency in Power BI Desktop, Power Query (M), Data modelling, DAX, and Power BI Service. Proficiency in Data Warehousing and Extract Transform Load (ETL) processes Hands-on experience in writing complex & optimised SQL queries and creating SQL views. In-depth understanding of relational database structures and data warehousing principles. Strong analytical and visualisation skills to communicate complex information. Demonstrated ability in performance tuning of reports. Experience in handling Power BI migrations and version upgrades. Excellent problem-solving, debugging, and communication skills. Nice to Have: Familiarity with Azure Data Factory, Synapse Analytics, or other cloud data tools. Exposure to Agile methodologies and DevOps for BI deployments. Experience in customer success or stakeholder engagement roles. Understanding of business workflow optimisation and automation

We are looking for a detail-oriented and curious Junior Data Scientist to join our analytics team. In this role, you will support the development of predictive models and perform data trend analysis to drive business decisions. This is a great opportunity for someone early in their data science career to work with real-world datasets and grow in a collaborative, data-driven environment. Key Responsibilities: Analyze large datasets to identify trends, patterns, and insights. Assist in building and validating predictive models using machine learning algorithms. Work with cross-functional teams to understand data needs and deliver actionable solutions. Perform data preprocessing, cleaning, and feature engineering. Create data visualizations to present findings clearly to stakeholders. Support ongoing improvement of existing models and data pipelines.

We are looking for a detail-oriented and curious Junior Data Scientist to join our analytics team. In this role, you will support the development of predictive models and perform data trend analysis to drive business decisions. This is a great opportunity for someone early in their data science career to work with real-world datasets and grow in a collaborative, data-driven environment. Key Responsibilities: Analyze large datasets to identify trends, patterns, and insights. Assist in building and validating predictive models using machine learning algorithms. Work with cross-functional teams to understand data needs and deliver actionable solutions. Perform data preprocessing, cleaning, and feature engineering. Create data visualizations to present findings clearly to stakeholders. Support ongoing improvement of existing models and data pipelines.

We are looking for a detail-oriented and curious Junior Data Scientist to join our analytics team. In this role, you will support the development of predictive models and perform data trend analysis to drive business decisions. This is a great opportunity for someone early in their data science career to work with real-world datasets and grow in a collaborative, data-driven environment. Key Responsibilities: Analyze large datasets to identify trends, patterns, and insights. Assist in building and validating predictive models using machine learning algorithms. Work with cross-functional teams to understand data needs and deliver actionable solutions. Perform data preprocessing, cleaning, and feature engineering. Create data visualizations to present findings clearly to stakeholders. Support ongoing improvement of existing models and data pipelines.

We are looking for a detail-oriented and curious Junior Data Scientist to join our analytics team. In this role, you will support the development of predictive models and perform data trend analysis to drive business decisions. This is a great opportunity for someone early in their data science career to work with real-world datasets and grow in a collaborative, data-driven environment. Key Responsibilities: Analyze large datasets to identify trends, patterns, and insights. Assist in building and validating predictive models using machine learning algorithms. Work with cross-functional teams to understand data needs and deliver actionable solutions. Perform data preprocessing, cleaning, and feature engineering. Create data visualizations to present findings clearly to stakeholders. Support ongoing improvement of existing models and data pipelines.

We are looking for a detail-oriented and curious Junior Data Scientist to join our analytics team. In this role, you will support the development of predictive models and perform data trend analysis to drive business decisions. This is a great opportunity for someone early in their data science career to work with real-world datasets and grow in a collaborative, data-driven environment. Key Responsibilities: Analyze large datasets to identify trends, patterns, and insights. Assist in building and validating predictive models using machine learning algorithms. Work with cross-functional teams to understand data needs and deliver actionable solutions. Perform data preprocessing, cleaning, and feature engineering. Create data visualizations to present findings clearly to stakeholders. Support ongoing improvement of existing models and data pipelines.

We are looking for a detail-oriented and curious Junior Data Scientist to join our analytics team. In this role, you will support the development of predictive models and perform data trend analysis to drive business decisions. This is a great opportunity for someone early in their data science career to work with real-world datasets and grow in a collaborative, data-driven environment. Key Responsibilities: Analyze large datasets to identify trends, patterns, and insights. Assist in building and validating predictive models using machine learning algorithms. Work with cross-functional teams to understand data needs and deliver actionable solutions. Perform data preprocessing, cleaning, and feature engineering. Create data visualizations to present findings clearly to stakeholders. Support ongoing improvement of existing models and data pipelines.