916 Data Analyst Jobs - Page 9

Location : India - Remote. Duration : 6+ Months (Contract). We are seeking an experienced Data Analyst for a long-term remote opportunity. The ideal candidate should have a proven background either in top-tier consultancy firms (such as Wipro, Accenture, etc.) or Oil & Gas industry projects. The role involves working with complex datasets to extract meaningful insights and support business decision-making. Key Responsibilities : - Collect, clean, and analyze large volumes of data from multiple sources. - Identify trends, patterns, and correlations in large datasets. - Design and build reports and dashboards using tools such as Power BI, Tableau, or similar. - Work closely with cross-functional teams including stakeholders, business users, and IT teams. - Translate business requirements into data models and actionable insights. - Prepare visualizations and presentations for management and client reporting. - Ensure data quality, integrity, and governance compliance. Required Skills & Qualifications : - 5+ years of professional experience as a Data Analyst. - Hands-on expertise with data visualization tools (e., Power BI, Tableau). - Strong SQL skills and experience with relational databases (e., SQL Server, Oracle). - Proficiency in Excel (including advanced formulas, pivot tables, etc. - Solid understanding of statistical methods and data analysis techniques. - Experience working with consultancy firms (like Wipro, Accenture, TCS, Infosys, etc.) OR experience in Oil & Gas sector projects is mandatory. - Strong analytical thinking and problem-solving skills. - Excellent communication and stakeholder management abilities. Preferred Qualifications : - Experience with Python or R for data analysis. - Familiarity with data warehousing concepts (e., Snowflake, Redshift, BigQuery). - Knowledge of ETL tools and processes.

Data analyst ,( Credit Risk ) SAS, python ,model validation B2/C1-Max 24 LPA - NP- immediate or 30 Days

Location: Chennai Experience: 6 - 9 Years The Purpose of This Role You will be responsible for conducting consultative analytics and creating executive level recommendations for business partners and line finance. You will also provide a broad range of ad hoc analytical support as needed. The analyses and insights delivered are critical components to drive business planning and ongoing decision making. The Value You Deliver Providing analyses and strategic recommendations to team, management, and business partners Synthesizing data, analyses, and conclusions into self-service dashboards or presentations for senior management Finding opportunities to streamline work processes to make the team more efficient and effective Proactive partnership and communication with business and Finance partners Using tools and business knowledge to continuously provide insightful information, reporting and analytics that evolve with changes in the business Work with the business to understand investment opportunities and provide cost benefit analyses to support decision making Contributing to the finance community with your energy, enthusiasm and team spirit The Skills that are Key to this role Technical / Behavioral Expertise and significant experience in Data Analytics and modelling, including predictive modelling and time series forecasting is essential. Preferably in workforce optimization area. Outstanding analytical and problem-solving skills. Comfortable working through ambiguous asks and ideas from concept to delivery. Working independently to perform most analyses. Translate research findings as well as quantitative analyses into accessible visuals for non-technical audiences, providing a clear view into interpreting data, and crisply communicating recommendations Willingness and ability to learn new tools and technologies as needed. Ability to respond to shifting priorities while maintaining progress of regularly scheduled work. Excellent written and verbal communications skills, including the ability to communicate effectively at varying levels of the organization. Ability to communicate complex ideas in simple terms. Intellectually curious and willing to ask questions and challenge status quo to benefit the organization Strong interpersonal skills. Flexible and adaptable team player. The Skills that are Good To Have for this role Proficiency in Python Confidence and ability to influence senior leaders in the organization

BI Developer 1 - 3 yrs Nagpur 4 Any Graduate View Details Job Description Designing, Developing and maintaining Business Intelligence Solutions Familiarity with BI Technologies Proven Experience as a BI Developer or Data Analyst Proficiency in Excel and Power BI Skills Business Intelligence Power Bi Data Visualization Analytics Profile Description Industry Type IT Software Role Technical Architect Functional Area Engineering - Software Employment Type Full Time Apply Now

ZoomInfo is where careers accelerate. We move fast, think boldly, and empower you to do the best work of your life. You ll be surrounded by teammates who care deeply, challenge each other, and celebrate wins. With tools that amplify your impact and a culture that backs your ambition, you won t just contribute. You ll make things happen fast. ZoomInfo is looking for a Data Analyst II to join our Data Operations and Analysis team. This position supports our broader Data team, and works closely with Product, Engineering, and Research. Key aspects of this role include supporting strategic data infrastructure decisions, discovering and driving improvements in our data processing, and providing timely and thorough analysis. You will have the opportunity to influence the future success of ZoomInfo s data assets. What you ll do Develop a deep and comprehensive understanding of the data and infrastructure we work with. Summarize and document different aspects of the current state, probing for opportunities, and charting the path forward with solutions to improve the accuracy and volume of the data we serve to our customers. Collaborate with our Data Engineering, Product Management, and Research counterparts to drive forward the improvement opportunities you ve identified Inquisitive - You are curious about ZoomInfo s product, market and data operations, and eager to develop a thorough understanding of our data and infrastructure. You pursue technical training and development opportunities, and strive to continuously build knowledge and skills. A Problem Solver - You have strong problem solving and troubleshooting skills with the ability to exercise good judgment in ambiguous situations. A Team Player - You are willing to tackle new challenges and enjoy facilitating and owning cross-functional collaboration. Within the team, you seek opportunities to mentor and coach junior analysts. Self-Directed - You enjoy working independently. There will be guidance and resources when you need it, but we re looking for someone who will thrive with the freedom to explore our data, propose solutions, and drive execution and results What you ll bring 2-5 years of experience in analytics, quantitative research, and/or data operations Knowledge of database, ETL development and challenges posed by data quality Ability to summarize complex analyses in a simple, intuitive format, and to present findings in a clear and concise manner to both technical and non-technical stakeholders Strong understanding of AI technologies, including machine learning, natural language processing, and data analytics. Must be detail oriented with strong organizational and analytical skills Strong initiative and ability to manage multiple projects simultaneously Exposure to and technical understanding of working with data at scale Experience in a product or project-driven work environment preferred Advanced level SQL, Python, BigQuery, Excel skills handling large-scale complex datasets Experience building, deploying AI / ML solutions Familiarity with data visualization tools, e.g. Tableau / Looker Studio Experience with DataBricks, AWS, or Airflow is preferred but not mandatory

Position/Job Title: Data Analyst Key Requirements: Must have atleast 2+ years of experience in designing and implementing Power BI /Tableau dashboards Hands on experience working on Advance SQL is must Ready to work from office and as per US timeline Qualifications: Any Graduate

Data Analyst (4-5 yearsexperience in Data analysis & reporting):Technical:Power Bi & Data Visualization: high proficiency (Skill to Mastery)SQL : High proficiency (Mastery)Data Analysis & Insight mining: High proficiency (Mastery)Databricks : Medium proficiency (Skill)Python : Low proficiency (Knowledge)Soft Skills:Domain (retail Experience) : Medium proficiency (Skill)Stakeholder management : Low proficiency (Knowledge) Max_Experience":"5

Data Analyst (6-7 yearsexperience in Data analysis & reporting):Technical:Power Bi & Data Visualization: high proficiency (Skill to Mastery)SQL : High proficiency (Mastery)Data Analysis & Insight mining: High proficiency (Mastery)Databricks : Medium proficiency (Skill)Python : Low proficiency (Knowledge)Soft Skills:Domain (retail Experience) : Medium proficiency (Skill)Stakeholder management : Low proficiency (Knowledge) Max_Experience":"7

Skill- Data Engineer (OCDP) Experiance-7 to 10 Years Job location-Hyderabad Data Engineer (OCDP)- 5+ years of experience on IT industry in Data Engineering & Data Analyst role. 5 years of development experience using tool Databricks and PySpark, Delta lake, Python, SQL Proficient in writing SQL queries including writing of windows functions Good communication skills with analytical abilities in doing problem solving activities.

Role and Responsibilities : - Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions. - Mine and analyze data from company databases to drive optimization and improvement of business strategies. - Assess the effectiveness and accuracy of data sources and data gathering techniques. - Develop custom data models and algorithms to apply to data sets. - Use predictive modelling to increase and optimize business outcomes. - Work individually or with extended teams to operationalize models & algorithms into structured software, programs or operational processes. - Coordinate with different functional teams to implement models and monitor outcomes. - Develop processes and tools to monitor and analyze model performance and data accuracy. - Provide recommendations to business users based upon data/ model outcomes, and implement. recommendations including changes in operational processes, technology or data management. - Primary area of focus : PSCM/ VMI business; secondary area of focus : ICS KPI's. - Business improvements pre & post (either operational program, algorithm, model or resultant software). - Improvements measured in time and/or dollar savings. - Satisfaction score of business users (of either operational program, algorithm, model or resultant software). Qualifications And Education Requirements : - Graduate BSc/BTech in applied sciences with year 2 statistics courses. - Relevant Internship (at least 2 months) OR Relevant Certifications of Preferred Skills. Preferred Skills : - Strong problem-solving skills with an emphasis on business development. - Experience the following coding languages : 1. R or python (Data Cleaning, Statistical and Modelling packages). 2. SQL.VBA and DAX (PowerBI). - Knowledge of working with and creating data architectures. - Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. - Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications. - Excellent written and verbal communication skills for coordinating across teams. - A drive to learn and master new technologies and technique. Responsibilities : - Demonstrate a personal commitment to Quality, Health, Safety and the Environment. - Apply GET, and where appropriate Client Company's, Quality, Health, Safety & Environment Policies and Safety Management Systems. - Promote a culture of continuous improvement, and lead by example to ensure company goals are achieved and exceeded. Skills : - Analytical skills. - Negotiation. - Convincing skills. Key Competencies : - Never give up attitude. - Flexible. - Eye to detail. Experience : Minimum 8 years of experience.

Duration : 6+ Months (Contract). We are seeking an experienced Data Analyst for a long-term remote opportunity. The ideal candidate should have a proven background either in top-tier consultancy firms (such as Wipro, Accenture, etc.) or Oil & Gas industry projects. The role involves working with complex datasets to extract meaningful insights and support business decision-making. Key Responsibilities : - Collect, clean, and analyze large volumes of data from multiple sources. - Identify trends, patterns, and correlations in large datasets. - Design and build reports and dashboards using tools such as Power BI, Tableau, or similar. - Work closely with cross-functional teams including stakeholders, business users, and IT teams. - Translate business requirements into data models and actionable insights. - Prepare visualizations and presentations for management and client reporting. - Ensure data quality, integrity, and governance compliance. Required Skills & Qualifications : - 5+ years of professional experience as a Data Analyst. - Hands-on expertise with data visualization tools (e.g., Power BI, Tableau). - Strong SQL skills and experience with relational databases (e.g., SQL Server, Oracle). - Proficiency in Excel (including advanced formulas, pivot tables, etc.) - Solid understanding of statistical methods and data analysis techniques. - Experience working with consultancy firms (like Wipro, Accenture, TCS, Infosys, etc.) OR experience in Oil & Gas sector projects is mandatory. - Strong analytical thinking and problem-solving skills. - Excellent communication and stakeholder management abilities. Preferred Qualifications : - Experience with Python or R for data analysis. - Familiarity with data warehousing concepts (e.g., Snowflake, Redshift, BigQuery). - Knowledge of ETL tools and processes.

Duration : 6+ Months (Contract). We are seeking an experienced Data Analyst for a long-term remote opportunity. The ideal candidate should have a proven background either in top-tier consultancy firms (such as Wipro, Accenture, etc.) or Oil & Gas industry projects. The role involves working with complex datasets to extract meaningful insights and support business decision-making. Key Responsibilities : - Collect, clean, and analyze large volumes of data from multiple sources. - Identify trends, patterns, and correlations in large datasets. - Design and build reports and dashboards using tools such as Power BI, Tableau, or similar. - Work closely with cross-functional teams including stakeholders, business users, and IT teams. - Translate business requirements into data models and actionable insights. - Prepare visualizations and presentations for management and client reporting. - Ensure data quality, integrity, and governance compliance. Required Skills & Qualifications : - 5+ years of professional experience as a Data Analyst. - Hands-on expertise with data visualization tools (e., Power BI, Tableau). - Strong SQL skills and experience with relational databases (e., SQL Server, Oracle). - Proficiency in Excel (including advanced formulas, pivot tables, etc. - Solid understanding of statistical methods and data analysis techniques. - Experience working with consultancy firms (like Wipro, Accenture, TCS, Infosys, etc.) OR experience in Oil & Gas sector projects is mandatory. - Strong analytical thinking and problem-solving skills. - Excellent communication and stakeholder management abilities. Preferred Qualifications : - Experience with Python or R for data analysis. - Familiarity with data warehousing concepts (e., Snowflake, Redshift, BigQuery). - Knowledge of ETL tools and processes.

Design data integration solutions using Azure Data Factory and other cloud services Develop complex semantic models and data warehouse solutions Create dashboards and reports using Power BI and Tableau Writing DAX query / SQL Required Candidate profile 5+ years of experience in data analytics and BI, with at least 2 years in a managerial role. Expert level proficiency in SQL and data modelling Proficiency in data visualization tools (Tableau)

Location : India - Remote. Duration : 6+ Months (Contract). We are seeking an experienced Data Analyst for a long-term remote opportunity. The ideal candidate should have a proven background either in top-tier consultancy firms (such as Wipro, Accenture, etc.) or Oil & Gas industry projects. The role involves working with complex datasets to extract meaningful insights and support business decision-making. Key Responsibilities : - Collect, clean, and analyze large volumes of data from multiple sources. - Identify trends, patterns, and correlations in large datasets. - Design and build reports and dashboards using tools such as Power BI, Tableau, or similar. - Work closely with cross-functional teams including stakeholders, business users, and IT teams. - Translate business requirements into data models and actionable insights. - Prepare visualizations and presentations for management and client reporting. - Ensure data quality, integrity, and governance compliance. Required Skills & Qualifications : - 5+ years of professional experience as a Data Analyst. - Hands-on expertise with data visualization tools (e., Power BI, Tableau). - Strong SQL skills and experience with relational databases (e., SQL Server, Oracle). - Proficiency in Excel (including advanced formulas, pivot tables, etc. - Solid understanding of statistical methods and data analysis techniques. - Experience working with consultancy firms (like Wipro, Accenture, TCS, Infosys, etc.) OR experience in Oil & Gas sector projects is mandatory. - Strong analytical thinking and problem-solving skills. - Excellent communication and stakeholder management abilities. Preferred Qualifications : - Experience with Python or R for data analysis. - Familiarity with data warehousing concepts (e., Snowflake, Redshift, BigQuery). - Knowledge of ETL tools and processes.

Role and Responsibilities : - Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions. - Mine and analyze data from company databases to drive optimization and improvement of business strategies. - Assess the effectiveness and accuracy of data sources and data gathering techniques. - Develop custom data models and algorithms to apply to data sets. - Use predictive modelling to increase and optimize business outcomes. - Work individually or with extended teams to operationalize models & algorithms into structured software, programs or operational processes. - Coordinate with different functional teams to implement models and monitor outcomes. - Develop processes and tools to monitor and analyze model performance and data accuracy. - Provide recommendations to business users based upon data/ model outcomes, and implement. recommendations including changes in operational processes, technology or data management. - Primary area of focus : PSCM/ VMI business; secondary area of focus : ICS KPI's. - Business improvements pre & post (either operational program, algorithm, model or resultant software). - Improvements measured in time and/or dollar savings. - Satisfaction score of business users (of either operational program, algorithm, model or resultant software). Qualifications And Education Requirements : - Graduate BSc/BTech in applied sciences with year 2 statistics courses. - Relevant Internship (at least 2 months) OR Relevant Certifications of Preferred Skills. Preferred Skills : - Strong problem-solving skills with an emphasis on business development. - Experience the following coding languages : 1. R or python (Data Cleaning, Statistical and Modelling packages). 2. SQL.VBA and DAX (PowerBI). - Knowledge of working with and creating data architectures. - Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. - Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications. - Excellent written and verbal communication skills for coordinating across teams. - A drive to learn and master new technologies and technique. Responsibilities : - Demonstrate a personal commitment to Quality, Health, Safety and the Environment. - Apply GET, and where appropriate Client Company's, Quality, Health, Safety & Environment Policies and Safety Management Systems. - Promote a culture of continuous improvement, and lead by example to ensure company goals are achieved and exceeded. Skills : - Analytical skills. - Negotiation. - Convincing skills. Key Competencies : - Never give up attitude. - Flexible. - Eye to detail. Experience : Minimum 8 years of experience.

Open mandate and JD for Manager (B2B Pricing) - Customer CoE. Must Have skills : General consulting and analytics Analytical Tools : Alteryx, Tableau, ETL would be preferred. Team handling is must and we need someone who is hands-on with the work. Note : Consulting + Industry background can work, the recent experience should be consulting. No data heavy or visualization heavy profiles required. This role needs someone who is advanced in Data Analytics who are good to draw insights for strategic initiatives , supporting business and any visualization skills will do. Experience Preferred : UG 8-12 years PG 6-9 years Role - B2B Pricing - Customer COE Manager brings specialized knowledge on client projects and IP delivery while leading multiple teams (2-3), managing the seamless communication and working closely across geographies and industries with expert partners, onshore managers, project teams and clients Scope of role - A manager acts as a strategic Leader who takes responsibility developing team members for key leadership roles in teams. He/she provides feedback and coaches Project Leaders on task execution and role. Provides significant direction and support to resolve complex issues/conflicts and effectively manage client and team. Pricing COE manager would also contribute in other COE initiatives such as recruiting, training, business strategy etc. May be required to travel to client or project team locations on need basis L eads multiple teams (2-3) comprising of Project Leaders/Associates/Analysts working across project delivery and IP development Is proficient at identifying and deploying relevant resources and analytical tools while ensuring timely, high quality, error-free analysis and output produced by the team Understand client needs and situations and adapt to project expectations. Show ability to resolve complex issues across work streams Help drive innovation within CoE through automation and IP by brainstorming with COE Director , practice managers and expert partners Help coach/mentor and build next level of leaders in the CoE ; recognizes teams professional development needs and provide feedback and solutions toward constant improvement Ensure a consistent and positive team experience by managing expectations between project teams/clients and teams Effectively manages client and team meetings and deliver clear and professional presentations to the senior project team members, practice stakeholders across the teams as well as clients Creates collaborative relationships and promotes in the system on the back of credibility Participate in COE resource planning, recruitment, and overall development

Duration : 6+ Months (Contract). We are seeking an experienced Data Analyst for a long-term remote opportunity. The ideal candidate should have a proven background either in top-tier consultancy firms (such as Wipro, Accenture, etc.) or Oil & Gas industry projects. The role involves working with complex datasets to extract meaningful insights and support business decision-making. Key Responsibilities : - Collect, clean, and analyze large volumes of data from multiple sources. - Identify trends, patterns, and correlations in large datasets. - Design and build reports and dashboards using tools such as Power BI, Tableau, or similar. - Work closely with cross-functional teams including stakeholders, business users, and IT teams. - Translate business requirements into data models and actionable insights. - Prepare visualizations and presentations for management and client reporting. - Ensure data quality, integrity, and governance compliance. Required Skills & Qualifications : - 5+ years of professional experience as a Data Analyst. - Hands-on expertise with data visualization tools (e., Power BI, Tableau). - Strong SQL skills and experience with relational databases (e., SQL Server, Oracle). - Proficiency in Excel (including advanced formulas, pivot tables, etc. - Solid understanding of statistical methods and data analysis techniques. - Experience working with consultancy firms (like Wipro, Accenture, TCS, Infosys, etc.) OR experience in Oil & Gas sector projects is mandatory. - Strong analytical thinking and problem-solving skills. - Excellent communication and stakeholder management abilities. Preferred Qualifications : - Experience with Python or R for data analysis. - Familiarity with data warehousing concepts (e., Snowflake, Redshift, BigQuery). - Knowledge of ETL tools and processes.

Duration : 6+ Months (Contract). We are seeking an experienced Data Analyst for a long-term remote opportunity. The ideal candidate should have a proven background either in top-tier consultancy firms (such as Wipro, Accenture, etc.) or Oil & Gas industry projects. The role involves working with complex datasets to extract meaningful insights and support business decision-making. Key Responsibilities : - Collect, clean, and analyze large volumes of data from multiple sources. - Identify trends, patterns, and correlations in large datasets. - Design and build reports and dashboards using tools such as Power BI, Tableau, or similar. - Work closely with cross-functional teams including stakeholders, business users, and IT teams. - Translate business requirements into data models and actionable insights. - Prepare visualizations and presentations for management and client reporting. - Ensure data quality, integrity, and governance compliance. Required Skills & Qualifications : - 5+ years of professional experience as a Data Analyst. - Hands-on expertise with data visualization tools (e.g., Power BI, Tableau). - Strong SQL skills and experience with relational databases (e.g., SQL Server, Oracle). - Proficiency in Excel (including advanced formulas, pivot tables, etc.) - Solid understanding of statistical methods and data analysis techniques. - Experience working with consultancy firms (like Wipro, Accenture, TCS, Infosys, etc.) OR experience in Oil & Gas sector projects is mandatory. - Strong analytical thinking and problem-solving skills. - Excellent communication and stakeholder management abilities. Preferred Qualifications : - Experience with Python or R for data analysis. - Familiarity with data warehousing concepts (e.g., Snowflake, Redshift, BigQuery). - Knowledge of ETL tools and processes.

Role and Responsibilities : - Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions. - Mine and analyze data from company databases to drive optimization and improvement of business strategies. - Assess the effectiveness and accuracy of data sources and data gathering techniques. - Develop custom data models and algorithms to apply to data sets. - Use predictive modelling to increase and optimize business outcomes. - Work individually or with extended teams to operationalize models & algorithms into structured software, programs or operational processes. - Coordinate with different functional teams to implement models and monitor outcomes. - Develop processes and tools to monitor and analyze model performance and data accuracy. - Provide recommendations to business users based upon data/ model outcomes, and implement. recommendations including changes in operational processes, technology or data management. - Primary area of focus : PSCM/ VMI business; secondary area of focus : ICS KPI's. - Business improvements pre & post (either operational program, algorithm, model or resultant software). - Improvements measured in time and/or dollar savings. - Satisfaction score of business users (of either operational program, algorithm, model or resultant software). Qualifications And Education Requirements : - Graduate BSc/BTech in applied sciences with year 2 statistics courses. - Relevant Internship (at least 2 months) OR Relevant Certifications of Preferred Skills. Preferred Skills : - Strong problem-solving skills with an emphasis on business development. - Experience the following coding languages : 1. R or python (Data Cleaning, Statistical and Modelling packages). 2. SQL.VBA and DAX (PowerBI). - Knowledge of working with and creating data architectures. - Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. - Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications. - Excellent written and verbal communication skills for coordinating across teams. - A drive to learn and master new technologies and technique. Responsibilities : - Demonstrate a personal commitment to Quality, Health, Safety and the Environment. - Apply GET, and where appropriate Client Company's, Quality, Health, Safety & Environment Policies and Safety Management Systems. - Promote a culture of continuous improvement, and lead by example to ensure company goals are achieved and exceeded. Skills : - Analytical skills. - Negotiation. - Convincing skills. Key Competencies : - Never give up attitude. - Flexible. - Eye to detail. Experience : Minimum 8 years of experience.

Hiring for hybrid Business Analyst + Data Analyst + Application Support role focused on Regulatory Reporting in APAC . Note: The candidate must know Alteryx well , be comfortable with data-driven regulatory reports , handle production issues (L2/L3) , and work in an Agile project environment . Job Description - Regulatory Reporting Analyst (Alteryx / APAC Region) Position Purpose: The role involves collaborating with Finance users across APAC, designing and implementing automated reporting solutions on our in-house Flexel platform (supporting 700+ reports across 9 countries), and ensuring seamless production support. The candidate will play a hybrid role across Business Analysis, Data Analysis, Solution Design, and L2/L3 Production Support . Responsibilities: Project & Solution Design: Gather user requirements and translate them into functional and technical design. Hands-on development and workflow automation using Alteryx Designer . Maintain global functional design documentation and data dictionaries. Guide stakeholders through solution design and participate in architecture decisions. Support System Integration Testing (SIT) and User Acceptance Testing (UAT) . Work within Agile frameworks (Scrum, Kanban, Jira). Production Support (L2/L3) Provide L2/L3 support for APAC regional regulatory reporting applications. Investigate incidents, perform root cause analysis, and implement permanent fixes. Collaborate with L1 teams for timely issue resolution and process improvements. Required Skills & Competencies: Technical Skills: 5+ years of hands-on experience with Alteryx Designer / Workflow Automation tools . Strong expertise in Data Analysis, Data Modelling, and Process Automation . Knowledge of SDLC methodologies , Agile (Scrum/Kanban) , and tools such as Jira . Experience in testing phases (SIT/UAT) and production support (L2/L3). Exposure to Change Management & Release Management processes . Domain & Preferred Skills Knowledge of Financial/Regulatory Reporting (Balance Sheet, P&L, Basel III LCR). Familiarity with Finance/Banking industry reporting frameworks . Certifications such as PMP, Scrum Master, Agile (preferred but not mandatory). Qualifications: Bachelors degree in Computer Science, Information Systems, Data Analytics , or related field. At least 5 years of experience in Alteryx development or similar workflow management tools. Location APAC Region (onsite/remote flexibility based on organization policy).

2-4 years of experience doing quantitative analysis. Expertise in querying languages:- Advance SQL is a must, experience in Hive, Spark is a plus Expertise in data visualisation tools, such as Tableau, PowerBI, Looker etc. Ability to initiate and drive projects to completion with minimal guidance. Experience with large data sets and distributed computing (Hive/Hadoop) a plus. The ability to communicate the results of analysis in a clear and effective manner. Good applied statistics skills, such as distributions, statistical testing, regression, etc. Experience in developing, scheduling, and monitoring data pipelines using Apache Airflow Prior experience in building data engineering pipelines using dbt a plus Good scripting and programming skills & great communication skills. The impact you will create: Apply your expertise in quantitative analysis, data mining, and the data visualisation of data to see beyond the numbers and understand how our users interact with our core products. Partner with Product & Engineering teams to solve problems and identify trends & opportunities. Inform, influence, support and execute product decisions. Build/maintain reports, dashboards, and metrics to monitor the performance of products. Analyse massive amounts of data and extract useful product insights. Creating automated data-pipelines for collecting and aggregate user level data & carrying out ad hoc analysis on a requirement basis. It would be great if you also have: Prior experience working with product based startups Experience in Python

Role and Responsibilities : - Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions. - Mine and analyze data from company databases to drive optimization and improvement of business strategies. - Assess the effectiveness and accuracy of data sources and data gathering techniques. - Develop custom data models and algorithms to apply to data sets. - Use predictive modelling to increase and optimize business outcomes. - Work individually or with extended teams to operationalize models & algorithms into structured software, programs or operational processes. - Coordinate with different functional teams to implement models and monitor outcomes. - Develop processes and tools to monitor and analyze model performance and data accuracy. - Provide recommendations to business users based upon data/ model outcomes, and implement. recommendations including changes in operational processes, technology or data management. - Primary area of focus : PSCM/ VMI business; secondary area of focus : ICS KPI's. - Business improvements pre & post (either operational program, algorithm, model or resultant software). - Improvements measured in time and/or dollar savings. - Satisfaction score of business users (of either operational program, algorithm, model or resultant software). Qualifications And Education Requirements : - Graduate BSc/BTech in applied sciences with year 2 statistics courses. - Relevant Internship (at least 2 months) OR Relevant Certifications of Preferred Skills. Preferred Skills : - Strong problem-solving skills with an emphasis on business development. - Experience the following coding languages : 1. R or python (Data Cleaning, Statistical and Modelling packages). 2. SQL.VBA and DAX (PowerBI). - Knowledge of working with and creating data architectures. - Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. - Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications. - Excellent written and verbal communication skills for coordinating across teams. - A drive to learn and master new technologies and technique. Responsibilities : - Demonstrate a personal commitment to Quality, Health, Safety and the Environment. - Apply GET, and where appropriate Client Company's, Quality, Health, Safety & Environment Policies and Safety Management Systems. - Promote a culture of continuous improvement, and lead by example to ensure company goals are achieved and exceeded. Skills : - Analytical skills. - Negotiation. - Convincing skills. Key Competencies : - Never give up attitude. - Flexible. - Eye to detail. Experience : Minimum 8 years of experience.

Role and Responsibilities : - Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions. - Mine and analyze data from company databases to drive optimization and improvement of business strategies. - Assess the effectiveness and accuracy of data sources and data gathering techniques. - Develop custom data models and algorithms to apply to data sets. - Use predictive modelling to increase and optimize business outcomes. - Work individually or with extended teams to operationalize models & algorithms into structured software, programs or operational processes. - Coordinate with different functional teams to implement models and monitor outcomes. - Develop processes and tools to monitor and analyze model performance and data accuracy. - Provide recommendations to business users based upon data/ model outcomes, and implement. recommendations including changes in operational processes, technology or data management. - Primary area of focus : PSCM/ VMI business; secondary area of focus : ICS KPI's. - Business improvements pre & post (either operational program, algorithm, model or resultant software). - Improvements measured in time and/or dollar savings. - Satisfaction score of business users (of either operational program, algorithm, model or resultant software). Qualifications And Education Requirements : - Graduate BSc/BTech in applied sciences with year 2 statistics courses. - Relevant Internship (at least 2 months) OR Relevant Certifications of Preferred Skills. Preferred Skills : - Strong problem-solving skills with an emphasis on business development. - Experience the following coding languages : 1. R or python (Data Cleaning, Statistical and Modelling packages). 2. SQL.VBA and DAX (PowerBI). - Knowledge of working with and creating data architectures. - Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. - Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications. - Excellent written and verbal communication skills for coordinating across teams. - A drive to learn and master new technologies and technique. Responsibilities : - Demonstrate a personal commitment to Quality, Health, Safety and the Environment. - Apply GET, and where appropriate Client Company's, Quality, Health, Safety & Environment Policies and Safety Management Systems. - Promote a culture of continuous improvement, and lead by example to ensure company goals are achieved and exceeded. Skills : - Analytical skills. - Negotiation. - Convincing skills. Key Competencies : - Never give up attitude. - Flexible. - Eye to detail. Experience : Minimum 8 years of experience.

We are seeking an experienced Data Analyst for a long-term remote opportunity. The ideal candidate should have a proven background either in top-tier consultancy firms (such as Wipro, Accenture, etc.) or Oil & Gas industry projects. The role involves working with complex datasets to extract meaningful insights and support business decision-making. Key Responsibilities : - Collect, clean, and analyze large volumes of data from multiple sources. - Identify trends, patterns, and correlations in large datasets. - Design and build reports and dashboards using tools such as Power BI, Tableau, or similar. - Work closely with cross-functional teams including stakeholders, business users, and IT teams. - Translate business requirements into data models and actionable insights. - Prepare visualizations and presentations for management and client reporting. - Ensure data quality, integrity, and governance compliance. Required Skills & Qualifications : - 5+ years of professional experience as a Data Analyst. - Hands-on expertise with data visualization tools (e., Power BI, Tableau). - Strong SQL skills and experience with relational databases (e., SQL Server, Oracle). - Proficiency in Excel (including advanced formulas, pivot tables, etc. - Solid understanding of statistical methods and data analysis techniques. - Experience working with consultancy firms (like Wipro, Accenture, TCS, Infosys, etc.) OR experience in Oil & Gas sector projects is mandatory. - Strong analytical thinking and problem-solving skills. - Excellent communication and stakeholder management abilities. Preferred Qualifications : - Experience with Python or R for data analysis. - Familiarity with data warehousing concepts (e., Snowflake, Redshift, BigQuery). - Knowledge of ETL tools and processes.

Duration : 6+ Months (Contract). We are seeking an experienced Data Analyst for a long-term remote opportunity. The ideal candidate should have a proven background either in top-tier consultancy firms (such as Wipro, Accenture, etc.) or Oil & Gas industry projects. The role involves working with complex datasets to extract meaningful insights and support business decision-making. Key Responsibilities : - Collect, clean, and analyze large volumes of data from multiple sources. - Identify trends, patterns, and correlations in large datasets. - Design and build reports and dashboards using tools such as Power BI, Tableau, or similar. - Work closely with cross-functional teams including stakeholders, business users, and IT teams. - Translate business requirements into data models and actionable insights. - Prepare visualizations and presentations for management and client reporting. - Ensure data quality, integrity, and governance compliance. Required Skills & Qualifications : - 5+ years of professional experience as a Data Analyst. - Hands-on expertise with data visualization tools (e.g., Power BI, Tableau). - Strong SQL skills and experience with relational databases (e.g., SQL Server, Oracle). - Proficiency in Excel (including advanced formulas, pivot tables, etc.) - Solid understanding of statistical methods and data analysis techniques. - Experience working with consultancy firms (like Wipro, Accenture, TCS, Infosys, etc.) OR experience in Oil & Gas sector projects is mandatory. - Strong analytical thinking and problem-solving skills. - Excellent communication and stakeholder management abilities. Preferred Qualifications : - Experience with Python or R for data analysis. - Familiarity with data warehousing concepts (e.g., Snowflake, Redshift, BigQuery). - Knowledge of ETL tools and processes.