34 Data Visualizations Jobs

Requirements: Proven track record of success in increasing organic traffic and website visibility. In-depth knowledge of search engine algorithms and best practices (SEO, SEM, PPC). Strong understanding of keyword research, on-page optimization, and link building. Experience with SEO tools and platforms such as Google Analytics, Search Console, Ahrefs, SEMrush, etc. Excellent analytical and problem-solving skills. Strong written and verbal communication skills. Ability to work independently and as part of a team. Responsibilities: Develop and execute overarching SEO strategies aligned with business objectives, focusing on organic traffic acquisition, lead generation, and brand visibility. Conduct in-depth SEO audits and identify opportunities for improvement across websites, landing pages, and technical infrastructure. Spearhead comprehensive keyword research to uncover high-value, relevant keywords and inform content strategy development. Craft compelling on-page optimization strategies for website content, meta descriptions, title tags, and header tags. Develop and execute robust link-building campaigns to acquire high-quality backlinks from authoritative sources. Monitor and analyze website performance using advanced SEO tools like Google Analytics, Search Console, Ahrefs, SEMrush, etc. Stay abreast of the latest SEO trends and algorithm updates, proactively implementing adjustments to maintain optimal website performance. Collaborate effectively with cross-functional teams (marketing, content, development) to ensure seamless integration of SEO initiatives. Present insightful reports and data visualizations to stakeholders, communicating SEO impact and justifying strategic recommendations. Identify and troubleshoot complex technical SEO issues, working with developers to implement solutions. Contribute to the overall marketing strategy, ensuring organic search plays a critical role in achieving business goals.

Requirements: Proven track record of success in increasing organic traffic and website visibility. In-depth knowledge of search engine algorithms and best practices (SEO, SEM, PPC). Strong understanding of keyword research, on-page optimization, and link building. Experience with SEO tools and platforms such as Google Analytics, Search Console, Ahrefs, SEMrush, etc. Excellent analytical and problem-solving skills. Strong written and verbal communication skills. Ability to work independently and as part of a team. Responsibilities: Develop and execute overarching SEO strategies aligned with business objectives, focusing on organic traffic acquisition, lead generation, and brand visibility. Conduct in-depth SEO audits and identify opportunities for improvement across websites, landing pages, and technical infrastructure. Spearhead comprehensive keyword research to uncover high-value, relevant keywords and inform content strategy development. Craft compelling on-page optimization strategies for website content, meta descriptions, title tags, and header tags. Develop and execute robust link-building campaigns to acquire high-quality backlinks from authoritative sources. Monitor and analyze website performance using advanced SEO tools like Google Analytics, Search Console, Ahrefs, SEMrush, etc. Stay abreast of the latest SEO trends and algorithm updates, proactively implementing adjustments to maintain optimal website performance. Collaborate effectively with cross-functional teams (marketing, content, development) to ensure seamless integration of SEO initiatives. Present insightful reports and data visualizations to stakeholders, communicating SEO impact and justifying strategic recommendations. Identify and troubleshoot complex technical SEO issues, working with developers to implement solutions. Contribute to the overall marketing strategy, ensuring organic search plays a critical role in achieving business goals.

About UPS: Moving our world forward by delivering what matters! UPS is a company with a proud past and an even brighter future. Our values define us. Our culture differentiates us. Our strategy drives us. At UPS we are customer first, people led and innovation driven. UPSs India based Technology Development Centers will bring UPS one step closer to creating a global technology workforce that will help accelerate our digital journey and help us engineer technology solutions that drastically improve our competitive advantage in the field of Logistics. Future You grows as a visible and valued Technology professional with UPS, driving us towards an exciting tomorrow. As a global Technology organization we can put serious resources behind your development. If you are solutions orientated, UPS Technology is the place for you. Future You delivers ground-breaking solutions to some of the biggest logistics challenges around the globe. Youll take technology to unimaginable places and really make a difference for UPS and our customers. Responsibilities: Collaborate and consult with teams to understand business needs and perform analysis to implement Workday security configuration across all Workday modules. Provide hands on configuration of Workday domain and business process security policies. Maintain system setup and design, including business processes and reporting; inbound and outbound data interfaces/integrations, and dashboards. Develop medium complexity integrations and reports leveraging EIB and Workday studio. Support Workday major releases by identifying impact and enhancement opportunities associated with a new release and communicating appropriately as needed. Review and recommend optimization efforts based on system usage. Participating in system integration testing; analyzing the effectiveness and functionality of new configurations to ensure all requirements are met. Leveraging Workday Community/support to resolve complex escalation issues. Support systems authentication, security compliance and change management controls. Experience with data ingestion, transformation, and security within Prism Environment. Familiar with Workday Prism build and able to maintain prism data pipelines. Familiar with Workday Extends and building custom interfaces and process. Experience in creating and executing Data change Tasks (DCT's). Able to support Prism Orchestration to automate strategic execution of multiple DCTs Exposure to Data Modeling in Prism Experience in Workday Reporting including Advanced, Composite and Matrix Reports Experience with Data Visualizations through Discovery Boards and prism analytics. Excellent presentation skills. Able to demonstrate comfort and expertise working with end-users, technical development teams and functional teams. Minimum Qualifications: Hands on development experience in Workday security configuration and integration development. Demonstrated integration development experience in Workday HCM and other modules. Experience with Web Services and APIs (WSDL, SOAP, REST and WS standards) Hands on experience in delivering projects leveraging Agile/SAFe framework. Excellent verbal and written communication skills. Bachelor's degree in computer science or related discipline, or the equivalent in education and work experience.

Role Description The role is to perform a number of key functions that support and control the business in complying with a number regulatory requirements such as Markets in Financial Directive MiFID II. This role forms part of a team in Bangalore that supports Regulatory reporting across all asset classes: Rates, Credit, Commodities, Equities and Foreign Exchange. Key responsibilities include day to day exception management MIS Compilation and User Acceptance Testing (UAT). This role will also indulge in supporting in-house tech requirements in terms of building out reports, macros etc. Your key responsibilities Performing and/or managing various exception management functions across reporting for all asset classes, across multiple jurisdictions Ensure accurate, timely and completeness of reporting Working closely with our technology development teams to design system solutions, the aim to automate as much of the exceptions process as possible Liaising with internal and external teams to propose developments to the current architecture in order to ensure greater compliance with Regulatory requirements and drive improved STP processing of our reporting across all asset classes Perform root cause analysis or exceptions with investigation & appropriate escalation of any significant issues found through testing, rejection remediation or any other stream to senior management to ensure transparency exists in our controls Ability to build and maintain effective operational process and prioritise activities based on risk. Clear communication and escalation. Ability to recognize high risk situations and deal with them in a prompt manner. Documentation of BI deliverables. Support the design of data models, reports and visualizations to meet business needs Develop end-user reports and visualizations Your skills and experience 5-8years work experience within an Ops role within financial services. Graduate in Science/Technology/Engg./Mathematics. Regulatory experience (MIFIR, EMIR, Dodd Frank, Bank of England etc.) is preferred Preferable experience in Middle Office/Back Office, Reference Data and excellent in Trade Life Cycle (At least 2 asset Classes Equities, Credits, Rates, Foreign Exchange, Commodities) Ability to work independently, as well as in a team environment Clear and concise communication and escalation. Ability to recognise high risk situations and deal with them in a prompt manner. Ability to identify and prioritize multiple tasks that have potential operational risk and p/l impact in an often high-pressure environment Experience in data analysis with intermediate/advanced Microsoft Office Suite skills including VBA. Experience in building reports and BI analysis with tools such as SAP Business Objects, Tableau, QlikView etc. Advanced SQL Experience is preferred.

Key Responsibilities: Data Analysis: Analyzing data related to patient demographics, insurance coverage, billing, collections, and reimbursement. Reporting and Dashboarding: Creating reports and dashboards to track key RCM metrics, such as accounts receivable, cash flow, and denial rates. Process Improvement: Identifying and recommending process improvements based on data analysis, such as streamlining billing procedures, optimizing collection efforts, or improving claim submission processes. Collaboration: Working with cross-functional teams, including finance, billing, collections, and IT, to ensure data accuracy and integrity. Data Quality: Ensuring data accuracy, integrity, and consistency by validating data sources and troubleshooting discrepancies. System Implementation and Maintenance: Assisting with the implementation, setup, and integration of RCM systems and tools. Presentation and Communication: Presenting findings and recommendations to stakeholders in a clear and concise manner. Required Skills and Qualifications: Education: Bachelor's degree in a related field, such as data analytics, finance, or healthcare administration. Technical Skills: Proficiency in data analysis software (e.g., SQL, Excel, R, Python), data visualization tools (e.g., Power BI, Tableau), and RCM systems. Analytical Skills: Strong analytical and problem-solving skills, with the ability to identify trends, patterns, and opportunities for improvement. Communication Skills: Excellent communication and interpersonal skills, with the ability to work effectively with cross-functional teams. Industry Knowledge: Knowledge of the healthcare industry and revenue cycle management processes. Experience: Prior experience in data analysis, preferably within a healthcare or revenue cycle management environment. Role & responsibilities Preferred candidate profile

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

Project Role : Data Architect Project Role Description : Define the data requirements and structure for the application. Model and design the application data structure, storage and integration. Must have skills : Data Consulting Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary: As a Data Architect, you will define the data requirements and structure for the application. Model and design the application data structure, storage, and integration. Show creativity in developing innovative data solutions and strategies to meet business needs. Roles & Responsibilities: - Expected to be an SME, collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Lead data architecture design and implementation. - Develop data models and database design. - Implement data security and privacy measures. - Optimize data storage and retrieval processes. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Consulting. - Strong understanding of data modeling and database design. - Experience with data integration and ETL processes. - Knowledge of data security and privacy best practices. - Hands-on experience with data visualization tools. - Good To Have Skills: Experience with cloud-based data solutions. Additional Information: - The candidate should have a minimum of 5 years of experience in Data Consulting. - This position is based at our Pune office. - A 15 years full time education is required.

Portfolio Analytics Unit Reporting Team Internal Portfolio Analytics, MIS and Reporting Conduct portfolio analysis (including but not limited to product, tenor, industry-wise analyses) and suggest de-risking strategies for the portfolio. Identifying positive and negative trends across business segments. Monitor and report credit portfolio of the bank by highlighting various risk factors at portfolio and industry level. Preparing and circulating MIS to Business and Risk functions. Suggesting and implementing process improvements in the data recording and reporting processes to mitigate various risks involved. Automation of Data and Reports. External MIS and Reporting Data Submissions to RBI and other external agencies. Responses to RBI queries. RBS Data Points.

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

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).

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.