5336 Data Visualization Jobs - Page 45

About the position: Analytics Engineer The AI Transformation team at Mimecast is an exciting blend of business, data, and technology. Using a high-powered technology stack that includes Tableau, dbt, Cloud Computing platforms and business applications, the team delivers AI powered business solutions that turn data into actionable insight. In turn, we enable our stakeholders to make smarter, AI driven decisions. This individual will be part of a fast-paced, team-centric environment committed to delivering strategic, management and operational insight. At their core AI team members at Mimecast are strong in data and AI skills, but also want to balance that with their interest in business. This role requires a mixture of business acumen and technical expertise, along with an ability to build strong partnerships with business technology partners. Success in the role will require a self-starter with a passion for collaborating with others to solve problems. Key Responsibilities: As an Analytics Engineer, you will be focused on building AI tools to be used across the enterprise, at scale, while building data models to support insights mined from Mimecast s wide product portfolio. Youll work closely with our business stakeholders, data team and data scientists to create AI solutions that ensures the right information is available and accessible to all stakeholders throughout the organization. You will bridge the gap between business and technology, the Analytics Engineer role requires equal amounts business acumen and technical acumen. The ideal candidate will: Collaborate with team members to collect business requirements, define successful analytics outcomes, and design data models Build trust in all interactions in AI solution development Be the primary point of contact for major sections of AI solutions and data models Design, develop, and extend dbt code to build upon AI data models Maintain the clear documentation for consumers of AI data sources Implement data ops principles in everything you do Craft code that meets our internal standards for style, maintainability, and best practices for a high-scale database environment. Maintain and advocate for these standards through code review. Approve AI data model changes for specific database and data model schemas Provide data modelling expertise to all teams through code reviews, pairing, and training to help deliver optimal, DRY, and scalable database designs and queries in Snowflake Update and create BI solutions that tie into AI Essential Skills and Experience: Be a result driven and optimistic problem solver Comfort working in a highly agile, intensely iterative environment Self-motivated and self-managing, with task organizational skills Great communication: Regularly achieve consensus amongst technical and business teams Demonstrated capacity to clearly and concisely communicate complex business activities, technical requirements, and recommendations Demonstrated experience with one or more of the following business subject areas: marketing, finance, sales, product, customer success, customer support, or engineering Highly proficient in SQL. You can interpret and optimize queries, for performance, written by other analysts and engineers Experience in data transformations and modeling using dbt Experience in using GenAI in data pipelines for transformations Experience using AI to assist with code creation and modification Qualifications 3+ years in the data space as an analyst, engineer, or equivalent 3+ years experience designing, implementing, operating, and extending enterprise dimensional models 3+ years working with a large-scale data warehouse, preferably in a cloud environment 1+ years experience building reports and dashboards in a data visualization tool 1+ years maintaining a project workstream to identify tasks, milestones, and deliverables DEI Statement Cybersecurity is a community effort. That s why we re committed to building an inclusive, diverse community that celebrates and welcomes everyone unless they re a cybercriminal, of course. We re proud to be an Equal Opportunity and Affirmative Action Employer, and we d encourage you to join us whatever your background. We particularly welcome applicants from traditionally underrepresented groups. We consider everyone equally: your race, age, religion, sexual orientation, gender identity, ability, marital status, nationality, or any other protected characteristic won t affect your application. Due to certain obligations to our customers, an offer of employment will be subject to your successful completion of applicable background checks, conducted in accordance with local law.

Position: Process Analyst / Discovery Analyst Experience Required : Minimum 7 years Key Responsibilities Support discovery initiatives for automation projects by gathering documentation, data, and analysis, under the guidance of the Discovery Lead. Collaborate with stakeholders to validate the accuracy and completeness of gathered information, and create artifacts such as current-state process maps and experience maps. Partner with business, technology, and analytics teams to identify, prioritize, and track automation opportunities from idea through execution. Facilitate cross-functional collaboration between business and technology stakeholders, ensuring clear communication and coordination. Assist in solution design and implementation, contributing to process improvements and automation initiatives. Drive automation initiatives end-to-end from opportunity identification and qualification to preparing detailed cost-benefit analyses (CBAs) and ensuring successful delivery. Contribute actively to the growth of the Intelligent Automation (IA) program, including participation in Proofs of Concept (POCs) and Proofs of Value (POVs) for new IA technologies. Skills Qualifications Certified in Lean Six Sigma Green Belt , Value Stream Mapping , and/or Process Mapping methodologies. Minimum of 2 years in Automation Analytics , including working knowledge of RPA tools (such as Blue Prism, UiPath, Automation Anywhere, or PEGA). Hands-on experience with OCR/ICR tools like ABBYY, Kofax, AWS Textract, or Vidado. Familiarity with NLP and chatbot analytics , including tools like Amazon Comprehend. Exposure to machine learning platforms (e.g. Amazon Lex, BigML, IBM Watson Studio) and data visualization tools (e.g. Tableau). Experience with process assessment using IA toolkits . Proven ability to collaborate within large, cross-functional teams aligned with strategic objectives. Strong analytical mindset with attention to detail, coupled with excellent verbal and written communication.

We are seeking a dynamic and detail-oriented Business Analyst to join our team. The candidate will act as a key liaison between stakeholders, translating business requirements into actionable insights and solutions. As part of the Business team, the Business Analyst will be responsible for working closely with the operation , program manager and business partners to analyze data, build inferences, and deliver compelling and actionable data insights in terms of reports and dashboards. Candidate should be proficient in data visualization tools (e.g., Tableau, Power BI) and SQL for data analysis. Analytical and problem-solving abilities. Proficiency in data visualization tools (e.g., Tableau, Power BI) and SQL/Python for data analysis. Excellent communication and interpersonal skills to work with cross-functional teams. Ability to interpret complex data and present it in a clear and actionable manner. Project management skills, with the ability to manage multiple tasks and deadlines. Knowledge of business process modeling and requirements gathering techniques. About the team The C-RET (Customer Returns and Experience Transformation) team is a dynamic group focused on improving the end-to-end seller and customer experience on Amazon. We work closely with FBA, Seller Services, and various cross-functional teams to drive operational excellence and long-term growth for our strategic sellers. Our mission is to deliver innovative, data-driven solutions that enhance performance, streamline processes, and elevate the customer journey. 1+ years of tax, finance or a related analytical field experience 2+ years of complex Excel VBA macros writing experience Bachelors degree or equivalent Experience defining requirements and using data and metrics to draw business insights Experience with SQL or ETL Experience working with Tableau Experience using very large datasets Experience working with Tableau Experience using very large datasets

VRMO Analytics is responsible for helping the Registrations & Compliance Operations teams in ongoing and long term strategic decision making. We help our business teams to build scalable capabilities for generating, operationalizing and measuring data-driven insights for the organization. We help our stakeholders shift from ad hoc insights to a programmatic approach to improve customer experience and operational efficiency. By providing transformed datasets, analytical solutions & insights to our stakeholders we help them take targeted actions and decisions. Sitting at the core of learning, experimenting and execution, we are committed to getting it right at the very first time. -Build and curation of relevant datasets, including potentially normalized schemas using SQL and DDL, which are understandable by colleagues and data customers. -Automation of manual data processes, including data quality and validation -Ability to run basic descriptive and predictive statistics models on complex data sets. -Good knowledge of python and basic ML model (decision trees, random forests, clustering etc.) is compulsory. -Ability to have end to end ownership and drive projects -Reporting using widely available reporting tools, for instance Quicksight or Tableau -Ability to translate ambiguous work-streams in to tangible requirements, and success metrics, including ability to build metrics and metrics decks. -Ability to earn trust among widely differing stakeholders of different roles, responsibilities, geographical location, and, culture. 3+ years of tax, finance or a related analytical field experience 5+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience 3+ years of business or financial analysis experience Experience defining requirements and using data and metrics to draw business insights Experience making business recommendations and influencing stakeholders Experience with Excel Bachelors degree or equivalent Experience working with Tableau Experience using very large datasets In depth understanding of GenAI and any other AI related improvements

Novo Nordisk Global Business Services (GBS) India Department- Clinical Drug Development (CDD) - Bangalore Global Development Does your motivation come from challenges and working in a dynamic environmentDo you thrive in a working environment where close collaboration with key stakeholders and strategic alignment is essentialDo you have a can-do attitude with continuous improvement as one of your career objectivesThen we might have the right position as Statistical Monitor for you. Apply now and join a growing team, working in an international environment. About the department Clinical Data Science, Global Business Services (CDS GBS) was started in September 2007 and within a short span of 16 years since its inception, has transitioned from a small start-up to one of the largest units in GBS and a key contributor to Novo Nordisk clinical development portfolio. As the organisation is growing along with the Research & Development portfolio, we are looking for several new medical Reviewing colleagues. In Clinical Data Science, we are responsible for managing clinical drug development worldwide from early development phases to product introduction. The CMU Bangalore is established in GBS to support the Risk Based Monitoring of clinical trials conducted by Novo Nordisk in line with health authority requirements. The unit is responsible for performance of centralised medical review of patient data that includes medical monitoring and lab surveillance; Statistical Monitoring analysis, and generation of visualisations and reports identifying outliers and trends from various data sources. The Position The Statistical Monitor plays a critical role in supporting Risk-Based Monitoring within Clinical Drug Development by operating and maintaining the centralized Statistical Monitoring function. This position focuses on detecting unusual data patterns, systematic errors, and potential instances of non-compliance or fraud that may not be identified through routine monitoring processes. The Statistical Monitor analyses clinical data across trials and projects to safeguard data integrity, which is essential for the approval of new drug. The role requires a high level of independence, with the potential to mentor junior colleagues and contribute to continuous improvement in data reliability and compliance. Responsible to operate and maintain the Statistical Monitoring function to identify unusual data patterns, systematic errors, and potential protocol non-compliance or fraud across clinical trials and projects. Work closely with trial and project teams, as well as data management and programming experts, to plan and execute statistical monitoring activities according to project timelines. Communicate monitoring observations to relevant stakeholders, support the interpretation of data issues, and contribute to data correction and quality improvement efforts. Contribute to the development, maintenance, and enhancement of statistical monitoring tools and methodologies, including exploring and implementing new techniques. Support training initiatives, participate in meetings and seminars, and foster strong collaboration and knowledge sharing with colleagues and cross-functional teams. Qualifications Holds university degree in life science or engineering (e.g. B.Sc., MSc, MD) or equivalent. 2 years of experience in pharmaceutical industry and preferably 1 year of experience with exploration and/ or visualisation of clinical trial data and scientific data. Experience from clinical development and understanding of data flow. Thorough understanding of clinical research and GCP. Understanding of basic statistical methods, preferably experience from reporting/publishing clinical/scientific data. Good knowledge on computer systems and IT. Exposure with SAS / JMP programming. Worked according to GxP and guidelines within drug development.

for the Middle East region. The successful candidate will have hands-on experience in technical recruitment and a strong understanding of Oracle ERP systems. Key Responsibilities: 1. Source and attract top technical talent for Oracle ERP roles (technical and functional) in the Middle East region. 2. Develop and execute recruitment strategies to meet hiring targets. 3. Utilize various recruitment channels, including job boards, social media, and professional networks. 4. Collaborate with hiring managers to understand requirements and preferences. 5. Manage the full recruitment lifecycle, from job posting to onboarding. Requirements: 1. Minimum 3 years of hands-on experience in technical recruitment, preferably in Oracle ERP or IT. 2. Strong understanding of Oracle ERP systems (technical and functional roles). 3. Experience in hiring for Middle East region is preferred. 4. Excellent communication and interpersonal skills. Minimum Qualifications: MBA in HR or Graduation with hands-on experience in technical recruitment. If youre a seasoned technical recruiter with a passion for Oracle ERP and Middle East region hiring, wed love to hear from you! Interested candidates please share updated resume to hr @ btranz. com #OracleERP #OracleCloud #OracleFusion #ERPConsultant #OracleHCM #TechnicalRecruitment #RecruitmentJobs #TalentAcquisition #HiringNow #RecruiterLife #CareerOpportunities #JobOpenings #DreamJob #CareerGrowth #JobSearch #MiddleEastJobs #GCCJobs #SaudiArabiaJobs #DubaiJobs #UAEJobs #OracleJobs #ITJobs #TechRecruitment #HROpportunities #JobSeekers Qualifications Preferred Qualifications Exposure to HR analytics and dashboard tools or data visualization software. Basic understanding of labor laws and HR compliance procedures.

Job Description: Key Responsibilities Develop, train, and evaluate machine learning models using Python, scikit-learn, and related libraries. Design and build robust data pipelines and workflows leveraging Pandas, SQL, and Kedro. Create clear, reproducible analysis and reports in Jupyter Notebooks. Integrate machine learning models and data pipelines into production environments on AWS. Work with Langchain to build applications leveraging large language models and natural language processing workflows. Collaborate closely with data engineers, product managers, and business stakeholders to understand requirements and deliver impactful solutions. Optimize and monitor model performance in production and drive continuous improvement. Follow best practices for code quality, version control, and documentation. Required Skills and Experience 10+ years of professional experience in Data Science, Machine Learning, or a related field. Strong proficiency in Python and machine learning frameworks, especially scikit-learn. Deep experience working with data manipulation and analysis tools such as Pandas and SQL. Hands-on experience creating and sharing analyses in Jupyter Notebooks. Solid understanding of cloud services, particularly AWS (S3, EC2, Lambda, SageMaker, etc.). Experience with Kedro for pipeline development and reproducibility. Familiarity with Langchain and building applications leveraging LLMs is a strong plus. Ability to communicate complex technical concepts clearly to non-technical audiences. Strong problem-solving skills and a collaborative mindset. Nice to Have Experience with MLOps tools and practices (model monitoring, CI/CD pipelines for ML). Exposure to other cloud platforms (GCP, Azure). Knowledge of data visualization libraries (e.g., Matplotlib, Seaborn, Plotly). Familiarity with modern LLM ecosystems and prompt engineering.

Job Description: Key Responsibilities Develop, train, and evaluate machine learning models using Python, scikit-learn, and related libraries. Design and build robust data pipelines and workflows leveraging Pandas, SQL, and Kedro. Create clear, reproducible analysis and reports in Jupyter Notebooks. Integrate machine learning models and data pipelines into production environments on AWS. Work with Langchain to build applications leveraging large language models and natural language processing workflows. Collaborate closely with data engineers, product managers, and business stakeholders to understand requirements and deliver impactful solutions. Optimize and monitor model performance in production and drive continuous improvement. Follow best practices for code quality, version control, and documentation. Required Skills and Experience 7+ years of professional experience in Data Science, Machine Learning, or a related field. Strong proficiency in Python and machine learning frameworks, especially scikit-learn. Deep experience working with data manipulation and analysis tools such as Pandas and SQL. Hands-on experience creating and sharing analyses in Jupyter Notebooks. Solid understanding of cloud services, particularly AWS (S3, EC2, Lambda, SageMaker, etc.). Experience with Kedro for pipeline development and reproducibility. Familiarity with Langchain and building applications leveraging LLMs is a strong plus. Ability to communicate complex technical concepts clearly to non-technical audiences. Strong problem-solving skills and a collaborative mindset. Nice to Have Experience with MLOps tools and practices (model monitoring, CI/CD pipelines for ML). Exposure to other cloud platforms (GCP, Azure). Knowledge of data visualization libraries (e.g., Matplotlib, Seaborn, Plotly). Familiarity with modern LLM ecosystems and prompt engineering.

About Fusemachines Fusemachines is a 10+ year old AI company, dedicated to delivering state-of-the-art AI products and solutions to a diverse range of industries. Founded by Sameer Maskey, Ph.D., an Adjunct Associate Professor at Columbia University, our company is on a steadfast mission to democratize AI and harness the power of global AI talent from underserved communities. With a robust presence in four countries and a dedicated team of over 400 full-time employees, we are committed to fostering AI transformation journeys for businesses worldwide. At Fusemachines, we not only bridge the gap between AI advancement and its global impact but also strive to deliver the most advanced technology solutions to the world. Job Description: As a Business Intelligence Engineer, you will play a pivotal role in leveraging data to drive strategic decisions and enhance operational efficiency. You will be responsible for designing, developing, and maintaining PowerBI dashboards and reports that provide valuable insights to various stakeholders across the organization. Responsibilities: Collaborate with cross-functional teams to understand business requirements and translate them into actionable insights using SQL and PowerBI. Develop visually appealing and interactive dashboards and reports to effectively communicate key performance indicators (KPIs), trends, and anomalies. Optimize data models and queries to ensure efficient performance and scalability of PowerBI solutions. Implement best practices for data visualization, ensuring clarity, consistency, and usability for end users. Work closely with data engineers to integrate data from various sources and maintain data accuracy and integrity. Provide training and support to end users to maximize adoption and utilization of PowerBI tools. Stay updated on industry trends and advancements in data visualization and analytics technologies, recommending improvements and innovations as appropriate. Collaborate with IT teams to ensure compliance with data security and governance policies. Required Skills: Proven experience as a PowerBI Developer or similar role, with a strong portfolio showcasing impactful dashboards and reports. Proficiency in SQL for data extraction, transformation, and manipulation. Solid understanding of data modeling concepts and experience in designing efficient data models. Strong analytical and problem-solving skills, with the ability to translate business requirements into technical solutions. Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams. Experience with other BI tools (e.g., Tableau) is a plus.

5+ years of relevant experience in relevant risk management areas such as internal/external audit, risk management and/or investigation Experience in data analysis using Excel, VBA, SQL, python etc. Forensic data analysis skills with experience writing SQL or Python and using Tableau or QuickSight for visualization.

Role primarily focuses on financial modeling, financial planning, and providing strategic support to other team, forecasts, and data-driven insights to guide business decisions. Support the consolidation of financial data from various departments for review and analysis. Prepare monthly and quarterly financial reports, highlighting key performance metrics. Maintain and update financial models to support decision-making processes. Conduct scenario analysis to assess financial impact of business decisions. Assist in preparing Credit Monitoring Arrangement (CMA) reports for raising term loans and working capital loans. Collaborate with Treasury team by providing relevant financial data required by banks and financial institutions. Utilize tools like Power BI and Excel for advanced data analysis and visualization. Support the finance team in ensuring compliance with financial regulations and internal controls. Assist in audit preparations and coordinate with external auditors as required.

Role Description : As a Technical Lead - Data Analysis at Incedo, you will be responsible for analyzing and interpreting large and complex datasets to extract insights and identify patterns. You will work with data analysts and data scientists to understand business requirements and provide data-driven solutions. You will be skilled in data analysis tools such as Excel or Tableau and have experience in programming languages such as Python or R. You will be responsible for ensuring that data analysis is accurate, efficient, and scalable. Roles & Responsibilities: Analyzing and interpreting complex data sets using statistical and data analysis tools Developing and implementing data-driven insights and solutions Creating and presenting reports and dashboards to stakeholders Collaborating with other teams to ensure the consistency and integrity of data Providing guidance and mentorship to junior data analysts. Technical Skills Skills Requirements: Proficiency in data wrangling and data cleaning techniques using tools such as Python, R, or SQL. Knowledge of statistical analysis techniques such as hypothesis testing, regression analysis, or time-series analysis. Familiarity with data visualization and reporting tools such as Tableau, Power BI, or Looker. Understanding of data exploration and discovery techniques such as clustering, anomaly detection, or text analytics. Must have excellent communication skills and be able to communicate complex technical information to non-technical stakeholders in a clear and concise manner. Must understand the company's long-term vision and align with it. Should be open to new ideas and be willing to learn and develop new skills. Should also be able to work well under pressure and manage multiple tasks and priorities. Qualifications 7-9 years of work experience in relevant field B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred

Role Description : As a Software Engineer - Data Reporting Services at Incedo, you will be responsible for creating reports and dashboards for clients. You will work with clients to understand their reporting needs and design reports and dashboards that meet those needs. You will be skilled in data visualization tools such as Tableau or Power BI and have experience with reporting tasks such as data analysis, dashboard design, and report publishing. Roles & Responsibilities: Design and develop reports and dashboards to help businesses make data-driven decisions. Develop data models and perform data analysis to identify trends and insights. Work with stakeholders to understand their reporting needs and develop solutions that meet those needs. Proficiency in data visualization tools like Tableau, Power BI, and QlikView. Technical Skills Skills Requirements: Strong knowledge of SQL and data querying tools such as Tableau, Power BI, or QlikView Experience in designing and developing data reports and dashboards Familiarity with data integration and ETL tools such as Talend or Informatica Understanding of data governance and data quality concepts Must have excellent communication skills and be able to communicate complex technical information to non-technical stakeholders in a clear and concise manner. Must understand the company's long-term vision and align with it. Qualifications 3-5 years of work experience in relevant field B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred

Role Description : As a Senior Data Reporting Services Specialist at Incedo, you will be responsible for creating reports and dashboards for clients. You will work with clients to understand their reporting needs and design reports and dashboards that meet those needs. You will be skilled in data visualization tools such as Tableau or Power BI and have experience with reporting tasks such as data analysis, dashboard design, and report publishing. Roles & Responsibilities: Design and develop reports and dashboards to help businesses make data-driven decisions. Develop data models and perform data analysis to identify trends and insights. Work with stakeholders to understand their reporting needs and develop solutions that meet those needs. Proficiency in data visualization tools like Tableau, Power BI, and QlikView. Technical Skills Skills Requirements: Strong knowledge of SQL and data querying tools such as Tableau, Power BI, or QlikView Experience in designing and developing data reports and dashboards Familiarity with data integration and ETL tools such as Talend or Informatica Understanding of data governance and data quality concepts Must have excellent communication skills and be able to communicate complex technical information to non-technical stakeholders in a clear and concise manner. Must understand the company's long-term vision and align with it. Provide leadership, guidance, and support to team members, ensuring the successful completion of tasks, and promoting a positive work environment that fosters collaboration and productivity, taking responsibility of the whole team. Qualifications 4-6 years of work experience in relevant field B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred

3+ yrs of Power BI, Data Visualization & Modelling skills Strong DAX skills Creative & UX skills in report design Exp of complex reports with multiple data sources Knowledge of Power BI functions, capabilities & limitations Mumbai Candidates only

Role Description : As a Software Engineer - Data Reporting Services at Incedo, you will be responsible for creating reports and dashboards for clients. You will work with clients to understand their reporting needs and design reports and dashboards that meet those needs. You will be skilled in data visualization tools such as Tableau or Power BI and have experience with reporting tasks such as data analysis, dashboard design, and report publishing. Roles & Responsibilities: Design and develop reports and dashboards to help businesses make data-driven decisions. Develop data models and perform data analysis to identify trends and insights. Work with stakeholders to understand their reporting needs and develop solutions that meet those needs. Proficiency in data visualization tools like Tableau, Power BI, and QlikView. Technical Skills : Strong knowledge of SQL and data querying tools such as Tableau, Power BI, or QlikView Experience in designing and developing data reports and dashboards Familiarity with data integration and ETL tools such as Talend or Informatica Understanding of data governance and data quality concepts Must have excellent communication skills and be able to communicate complex technical information to non-technical stakeholders in a clear and concise manner. Must understand the company's long-term vision and align with it. Qualifications 3-5 years of work experience in relevant field B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred

Therole requires an individual who takes ownership to resolve customer issues andresponds appropriately. MAJOR DELIVERABLES Resolving ticketsreceived from clients within defined SLA Coordinate withdevelopers for the issues received in tickets to fix it for clients Follow up withother teams on the issues which require code change and inform the clients accordingly Coordinate withUS team to get input on tickets Regularly reviewsincidents logged Uses technicalunderstanding to question and resolve issues raised by clients. Ensures all callslogged are clearly written so that any team member can understand the issue. Takes day to dayresponsibility for resolving issues through CRM tool. Understands andexecutes against agreed processes for implementing fixes/changes. Provides regularclient and internal communication on assigned activity and incidents -highlighting any issues that might impact delivery in the defined timescales toTeam Leader/Support Manager. Escalates to TeamLeader/Support Manager when there are resource conflicts, or when SLA's are at risk of not being met. Skills Experience (Essential) Experience onOracle or Microsoft SQL server database - Certification preferred but not must Client interaction exposure Goodcommunication skills, Verbal and Written both, is a MUST Please note thatthis role works on a rotational / US shifts and weekends Skills Experience (Desirable) Able to shareideas with the team and self-confident. Go-getter andsolution-oriented personality Very quicklearner and keen to learn new things Personal attributes A continualdesire to go above and beyond to resolve customer issues within SLAs andsuggest more efficient and effective ways of working Willing to workin a fast paced, dynamic environment Ability to communicateboth internally and externally Ability tomulti-task, work under pressure and to tight deadlines Positive can-doattitude, team player Efficient and Proactive

Good query SQL skills are mandatory Perform within the full development life cycle : Solution design, development and testing. It includes production maintenance and projects. You build it, You run it . Be proactive to optimize our solutions Teamwork organisation is Agile, therefore as a developer youll participate to all agile ceremonies from project scoping breackdown, pricing, identification of Technical US, preparation of Tests plans with the assistance of Testers. Youll make proposal to improve our IT foundations. Known the MS Office Profile required Main activtiy will be Power BI Report Builder Good query SQL skills are mandatory Perform within the full development life cycle : Solution design, development and testing. It includes production maintenance and projects. You build it, You run it . Be proactive to optimize our solutions

Create a detailed business analysis by outlining problems, opportunities and solutions for a business process or feature. Perform budgeting, forecasting, planning, monitoring, pricing and reporting. Review existing processes and develop strategies to enhance and transform to improve efficiency. Define and execute maximum scope coverage to automate functional, performance and regression tests. Focus on innovative opportunities to improve value chains and processes. Qualifiers Certification of Business Analyst level 1 and 2 is preferred. Demonstrated advance level of functional and domain expertise. Experience in building and executing detailed Business Requirements Documents (BRD) and testing of an end-to-end project. Advanced stakeholder management and influencing skills. Expertise in MS Office tools, Agile toolset, data visualization and collaboration tools. Ability to mentor to build an effective cross-functional team

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

Job Summary Synechron is seeking a detail-oriented Data Analyst to leverage advanced data analysis, visualization, and insights to support our business objectives. The ideal candidate will have a strong background in creating interactive dashboards, performing complex data manipulations using SQL and Python, and automating workflows to drive efficiency. Familiarity with cloud platforms such as AWS is a plus, enabling optimization of data storage and processing solutions. This role will enable data-driven decision-making across teams, contributing to strategic growth and operational excellence. Software Requirements Required: PowerBI (or equivalent visualization tools like Streamlit, Dash) SQL (for data extraction, manipulation, and querying) Python (for scripting, automation, and advanced analysis) Data management tools compatible with cloud platforms (e.g., AWS S3, Redshift, or similar) Preferred: Cloud platform familiarity, especially AWS services related to data storage and processing Knowledge of other visualization platforms (Tableau, Looker) Familiarity with source control systems (e.g., Git) Overall Responsibilities Develop, redesign, and maintain interactive dashboards and visualization tools to provide actionable insights. Perform complex data analysis, transformations, and validation using SQL and Python. Automate data workflows, reporting, and visualizations to streamline processes. Collaborate with business teams to understand data needs and translate them into effective visual and analytical solutions. Support data extraction, cleaning, and validation from various sources, ensuring data accuracy. Maintain and enhance understanding of cloud environments, especially AWS, to optimize data storage, processing pipelines, and scalability. Document technical procedures and contribute to best practices for data management and reporting. Performance Outcomes: Timely, accurate, and insightful dashboards and reports. Increased automation reducing manual effort. Clear communication of insights and data-driven recommendations to stakeholders. Technical Skills (By Category) Programming Languages: Essential: SQL, Python Preferred: R, additional scripting languages Databases/Data Management: Essential: Relational databases (SQL Server, MySQL, Oracle) Preferred: NoSQL databases like MongoDB, cloud data warehouses (AWS Redshift, Snowflake) Cloud Technologies: Essential: Basic understanding of AWS cloud services (S3, EC2, RDS) Preferred: Experience with cloud-native data solutions and deployment Frameworks and Libraries: Python: Pandas, NumPy, Matplotlib, Seaborn, Plotly, Streamlit, Dash Visualization: PowerBI, Tableau (preferred) Development Tools and Methodologies: Version control: Git Automation tools for workflows and reporting Familiarity with Agile methodologies Security Protocols: Awareness of data security best practices and compliance standards in cloud environments Experience Requirements 3-5 years of experience in data analysis, visualization, or related data roles. Proven ability to deliver insightful dashboards, reports, and analysis. Experience working across teams and communicating complex insights clearly. Knowledge of cloud environments like AWS or other cloud providers is desirable. Experience in a business environment, not necessarily as a full-time developer, but as an analytical influencer. Day-to-Day Activities Collaborate with stakeholders to gather requirements and define data visualization strategies. Design and maintain dashboards using PowerBI, Streamlit, Dash, or similar tools. Extract, transform, and analyze data using SQL and Python scripts. Automate recurring workflows and report generation to improve operational efficiencies. Troubleshoot data issues and derive insights to support decision-making. Monitor and optimize cloud data storage and processing pipelines. Present findings to business units, translating technical outputs into actionable recommendations. Qualifications Bachelors degree in Computer Science, Data Science, Statistics, or related field. Masters degree is a plus. Relevant certifications (e.g., PowerBI, AWS Data Analytics) are advantageous. Demonstrated experience with data visualization and scripting tools. Continuous learning mindset to stay updated on new data analysis trends and cloud innovations. Professional Competencies Strong analytical and problem-solving skills. Effective communication, with the ability to explain complex insights clearly. Collaborative team player with stakeholder management skills. Adaptability to rapidly changing data or project environments. Innovative mindset to suggest and implement data-driven solutions. Organized, self-motivated, and capable of managing multiple priorities efficiently.

Responsibilities: Lead UI development for critical data visualization applications within the Zeta Data Cloud ecosystem. Collaborate closely with UI/UX designers, product managers, and other stakeholders to ensure comprehensive requirements gathering and alignment with project objectives. Demonstrate the ability to independently research and find solutions to complex challenges, leveraging the support of the team when needed. Exhibit a proactive mindset for troubleshooting and problem-solving, ensuring efficient and effective solutions for new and evolving requirements. Implement responsive, cross-device layouts with a strong focus on usability and seamless performance. Write cleanconcise, efficient, and reusable code using React as the primary framework. Partner with backend and other application developers to ensure smooth integration and alignment across all dependencies. Serve as a subject matter expert in React-based UI development; stay informed about design trends, emerging technologies, and best practices to drive continuous improvement. Recommend and advocate key strategic recommendations as UI subject-matter expert. Lead thorough documentation processes during and after project completion to ensure clarity and reusability for future projects. Collaborate with QA teams to uphold high standards for each release. Qualifications/Skills needed: We are looking for a professional who: Possesses strong proficiency in React.js and TypeScript , with a solid understanding of core principles. Has in-depth knowledge of JavaScript, CSS, SCSS, HTML , and other front-end technologies. Is experienced in data visualization libraries such as AmCharts, Chart.js, and D3.js . Has a practical understanding of MySQL Databases . Is familiar with RESTful APIs and their integration. Possesses foundational knowledge of AWS services . Has a robust understanding of modern authorization methods, including JSON Web Tokens . Is proficient with version control systems, such as Git . Is knowledgeable in the MVC Development model . Is familiar with performance testing frameworks, including Mocha, Jest, and Robot (optional). Has experience with other JavaScript frameworks like Vue.js (optional). Holds a Bachelor's Degree in Computer Science , Software Engineering , or a related field, and has at least 4 years of hands-on experience in React development.

Primary Skill(s): Lead Data Visualization Engineer with experience in Sigma BI Experience: 7+ Years in of experience in Data Visualization with experience in Sigma BI, PowerBI, Tableau or Looker Job Summary: Lead Data Visualization Engineer with deep expertise in Sigma BI and a strong ability to craft meaningful, insight-rich visual stories for business stakeholders. This role will be instrumental in transforming raw data into intuitive dashboards and visual analytics, helping cross-functional teams make informed decisions quickly and effectively. Key Responsibilities: Lead the design, development, and deployment of Sigma BI dashboards and reports tailored for various business functions. Translate complex data sets into clear, actionable insights using advanced visualization techniques. Collaborate with business stakeholders to understand goals, KPIs, and data requirements. Build data stories that communicate key business metrics, trends, and anomalies. Serve as a subject matter expert in Sigma BI and guide junior team members on best practices. Ensure visualizations follow design standards, accessibility guidelines, and performance optimization. Partner with data engineering and analytics teams to source and structure data effectively. Conduct workshops and training sessions to enable business users in consuming and interacting with dashboards. Drive the adoption of self-service BI tools and foster a data-driven decision-making culture. Required Skills & Experience: 7+ years of hands-on experience in Business Intelligence, with at least 2 years using Sigma BI. Proven ability to build end-to-end dashboard solutions that tell a story and influence decisions. Strong understanding of data modeling, SQL, and cloud data platforms (Snowflake, BigQuery, etc.). Demonstrated experience working with business users, gathering requirements, and delivering user-friendly outputs. Proficient in data storytelling, UX design principles, and visualization best practices. Experience integrating Sigma BI with modern data stacks and APIs is a plus. Excellent communication and stakeholder management skills. Preferred Qualifications: Experience with other BI tools (such as Sigma BI, Tableau, Power BI, Looker) is a plus. Familiarity with AWS Cloud Data Ecosystems (AWS Databricks). Background in Data Analysis, Statistics, or Business Analytics. Working Hours: 2 PM 11 PM IST [~4.30 AM ET 1.30 PM ET]. Communication skills: Good Mandatory Competencies BI and Reporting Tools - BI and Reporting Tools - Power BI BI and Reporting Tools - BI and Reporting Tools - Tableau Database - Database Programming - SQL Cloud - GCP - Cloud Data Fusion, Dataproc, BigQuery, Cloud Composer, Cloud Bigtable Data Science and Machine Learning - Data Science and Machine Learning - Databricks Cloud - AWS - ECS DMS - Data Analysis Skills Beh - Communication and collaboration

Critical Thinking Testing Concepts ETL Testing Python Experience Nice to Have API Understanding & Testing (Manual Automation) UI Automation (Able to identify UI elements programmatically. (This is for Selenium). Detailed Description : Critical Thinking - 5/5 High in logical reasoning and proactiveness Should come up with diverse test cases against requirements Testing Concepts - 5/5 Practice various test design techniques Clarity with priority and Severity Testing life cycle and defect management Understand regression v/s functional SQL/ETL/Batch - 4/5 Able to write SQL statements with aggregate functions and joins Understand data transformation Familiar with data loads and related validations Automation - 3/5 Should be able to solve a given problem programmatically Familiar with coding standards, version control, piepliens Able to identify UI elements programmatically API - 2/5 Understand how API works Various authorization mechanisms Validation of responses

Experience in developing and managing dashboards and reports in Tableau In-depth knowledge and a sound understanding of RDBMS systems, SQL, Business Intelligence, and data analytics. Excellent analytical skills to forecast and predict trends and insights using past and current data Knowledge of data architecture, data modelling, data mapping, data analysis, and data visualization Able to build visually-stunning and interactive dashboards in Tableau. Good to have knowledge of Power BI Mandatory Competencies Beh - Communication and collaboration BI and Reporting Tools - BI and Reporting Tools - Power BI BI and Reporting Tools - BI and Reporting Tools - Tableau Database - Database Programming - SQL QA/QE - QA Analytics - Data Analysis