916 Data Analyst Jobs - Page 10

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.

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.

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.

Role & responsibilities: Managed Accounts support Develop a strong understanding of the clinical operations landscape and our Managed Accounts model Account Performance Management : Under the guidance of senior members: Support account performance tracking, including metrics such as Gross Awards, Pipeline, Revenue, and Operational KPIs Assist in developing standardized tools and templates to support account planning and performance management Provide research, analysis, and presentation support for strategic account initiatives Partnership Management: support the partnership management activities including: Learning Management System (LMS) administration and reporting Governance meeting preparation and tracking Partner engagement and documentation support Design, set-up and launch for surveys, newsletters etc. Responding to ad-hoc analytical requests, ranging from bid proposals to reporting for internal decision-makers Reporting & Analytics Enablement Design and build AI / BI solutions to support internal and client-facing reporting needs Support operational data platforms, including Synopsis Rewired and other key reporting systems Assist with technical documentation and continuous improvement of reporting solutions Preferred candidate profile: Should have strong proficiency in MS Excel & any reporting tools like Power BI / Tableau. Self-motivated person with strong research and team working skills, analytical and problem-solving mindset.

- 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.

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.

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.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.

Job Description: Position: Data Analyst Omnichannel Analytics Location: Bangalore Experience:2-4 years Primary skills: pharma-experienced Data Analyst, Commercial Omnichannel/ Multichannel Analytics

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.

Job Description: HR Recruiter, Consultant - Recruitment, Internships & Onboarding Location: Noida; for projects across India "Note: This will be a short-term contractual role with a duration of 11 months." About Varahe Analytics: Varahe Analytics is one of Indias premier integrated political consulting firms, specialising in building data-driven 360-degree election management. We help our clients with strategic advice and implementation, combining data-backed insights and in-depth ground intelligence into a holistic electoral campaign. We are passionate about our democracy and the politics that shape our world. We draw on some of the sharpest minds from distinguished institutions and diverse professional backgrounds to help us achieve our goal of building electoral strategies that spark conversations, effect change, and help shape electoral and legislative ecosystems in our country. About the Team: We are looking for a dynamic, detail-oriented professional to join our Recruitment & Onboarding team in a full-time capacity. This role is integral to driving the internal talent pipeline, managing internship programs, and ensuring smooth onboarding of new hires across verticals. What Would This Role Entail Manage end-to-end recruitment for full-time, contractual, campus hirings and internship roles across teams. Source candidates through various channels (portals, LinkedIn, referrals, internal database). Screened profiles based on job descriptions and shortlisted relevant candidates. Schedule and coordinate interviews with candidates and interview panels. Conduct initial HR rounds when required. Engage in salary discussions and negotiate offers in alignment with company policies. Maintain accurate records on hiring trackers and recruitment dashboards. Coordinate closely with hiring managers and internal teams for feedback and updates. Assist with onboarding formalities and documentation of selected candidates. Necessary Qualifications/Skills: Proven experience in IT hiring, specifically for roles such as Data Analyst, Data Engineer, Data Scientist, Full Stack Developer, and similar technical positions. Proficiency in MS Excel or G sheets (for maintaining trackers, reports, and analytics). Strong experience in sourcing and screening across multiple job portals. Excellent attention to detail and organisational skills. Ability to manage interview scheduling and ensure seamless coordination. Experience in salary negotiation and understanding of compensation structures. Strong stakeholder management and communication skills. Ability to work in a fast-paced, deadline-driven environment. Adaptability to transition and take on greater responsibilities post-confirmation. Basic knowledge of Spreadsheets, Presentation Tools and Word Processors Proficiency in English and Hindi is required. Additionally, multilingual proficiency in regional dialects such as Kannada, Tamil, and Malayalam is preferred , depending on the role&aposs requirements. Good to Have Skills: Prior experience managing internship programs and fresh graduate hiring. Bachelors Degree OR master&aposs in HR HR-related field. Understanding of HR tools or ATS platforms. Basic knowledge of politics and the nature of Indias democracy. Good communication skills are required. The candidate should be open to travel as needed. Role Expectations: Experience in hiring for technical roles & non-technical roles. Candidate must be comfortable with travelling as needed. How to Apply If you&aposre a fresh professional looking for a high-impact challenge, interested in joining a team of like-minded and motivated individuals who think strategically, act decisively, and get things done, drop in an email at [HIDDEN TEXT] with the subject line: Application for Recruitment & Onboarding Associate. Show more Show less

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.

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.

Summary [JOB SUMMARY- insert 3-4 sentences about the job, how it fits into the organization, what the challenges are and why its important to us and who it will be reporting to] What youll do [1-2 sentences for each bullet] What you have [insert preferred qualifications, skills, desires] Nice-to-haves [insert preferred qualifications, skills, desires] Benefits [insert benefits offered with the position]

Summary [JOB SUMMARY- insert 3-4 sentences about the job, how it fits into the organization, what the challenges are and why its important to us and who it will be reporting to] What youll do [1-2 sentences for each bullet] What you have [insert preferred qualifications, skills, desires] Nice-to-haves [insert preferred qualifications, skills, desires] Benefits [insert benefits offered with the position]

Data Analyst Data Analyst Hyderabad, Telangana, India 251 days ago Description Hello from Expletas Digi AI, We are looking for a dynamic and skilled Data Analyst with a focus on digital marketing to join our team and help us unlock the potential of our data. In this role, you will be responsible for collecting, cleaning, analyzing, and visualizing digital marketing data to provide actionable insights that drive our online strategies and enhance business growth. This position requires strong analytical skills, technical proficiency, and the ability to communicate complex findings effectively to both technical and non-technical audiences Requirements B.Sc/M.Sc in Statistics,B.Tech Practical Knowledge of tools like: Power Bi/Tableu/SQL/NumPy Excellent communication and Analytics Skills Ability to work independently or in the team. Bonuses Salary: 4-5 lakhs C.T.C Working days: Monday-Friday Benefits Mode of Work: Work-from-home Work timings: Flexible Responsibilities Develop and implement data analysis plans tailored to address specific digital marketing challenges and objectives. Collect, clean, and manage data from various digital marketing channels, ensuring accuracy and integrity. Conduct statistical analyses using relevant tools and techniques to assess digital marketing performance. Identify trends, patterns, and insights from digital marketing data sets. Create and maintain data visualizations, dashboards, and reports that showcase key digital marketing metrics. Present findings to stakeholders in a clear, concise, and compelling manner to inform digital marketing strategies. Stay current with the latest digital marketing analytics tools and methodologies. Collaborate with cross-functional teams to translate data insights into effective digital marketing campaigns. May involve building and maintaining data pipelines and automation scripts to optimize digital marketing data processes.

Develop/ Document technical specifications, mapping sheets, and test results. Strong design and develop BODS jobs, workflows, and dataflows for data extraction, cleansing, transformation, and loading experience with advanced BODS functionalities. Strong Data Migration background with hands-on experience using SAP BODS in S/4 HANA/ECC Implementations with at least an end-to-end implementation Analyze business requirements and prepare data mapping and transformation rules. Perform data validation, reconciliation, and quality checks across source and target systems. Work closely with SAP functional, technical, and business teams to understand data structures and ensure successful data migration. Identify and resolve issues related to data quality, job failures, or performance bottlenecks. Good Analytical skills to analyze the ETL issues and fix them Supporting all data load and cutover tasks for Mock, dress rehearsals and production cutover. SAP Data Analyst Experience in BODS design and architecture. Develop/ Document technical specifications, mapping sheets, and test results. Strong design and develop BODS jobs, workflows, and dataflows for data extraction, cleansing, transformation, and loading experience with advanced BODS functionalities. Strong Data Migration background with hands-on experience using SAP BODS in S/4 HANA/ECC Implementations with at least an end-to-end implementation Analyze business requirements and prepare data mapping and transformation rules . Perform data validation, reconciliation, and quality checks across source and target systems. Work closely with SAP functional, technical, and business teams to understand data structures and ensure successful data migration. Identify and resolve issues related to data quality, job failures, or performance bottlenecks. Good Analytical skills to analyze the ETL issues and fix them Supporting all data load and cutover tasks for Mock, dress rehearsals and production cutover.

Develop/ Document technical specifications, mapping sheets, and test results. Strong design and develop BODS jobs, workflows, and dataflows for data extraction, cleansing, transformation, and loading experience with advanced BODS functionalities. Strong Data Migration background with hands-on experience using SAP BODS in S/4 HANA/ECC Implementations with at least an end-to-end implementation Analyze business requirements and prepare data mapping and transformation rules. Perform data validation, reconciliation, and quality checks across source and target systems. Work closely with SAP functional, technical, and business teams to understand data structures and ensure successful data migration. Identify and resolve issues related to data quality, job failures, or performance bottlenecks. Good Analytical skills to analyze the ETL issues and fix them Supporting all data load and cutover tasks for Mock, dress rehearsals and production cutover. SAP Data Analyst Experience in BODS design and architecture. Develop/ Document technical specifications, mapping sheets, and test results. Strong design and develop BODS jobs, workflows, and dataflows for data extraction, cleansing, transformation, and loading experience with advanced BODS functionalities. Strong Data Migration background with hands-on experience using SAP BODS in S/4 HANA/ECC Implementations with at least an end-to-end implementation Analyze business requirements and prepare data mapping and transformation rules . Perform data validation, reconciliation, and quality checks across source and target systems. Work closely with SAP functional, technical, and business teams to understand data structures and ensure successful data migration. Identify and resolve issues related to data quality, job failures, or performance bottlenecks. Good Analytical skills to analyze the ETL issues and fix them Supporting all data load and cutover tasks for Mock, dress rehearsals and production cutover.

Build daily dashboards for voice, SMS, and email performance funnels. Develop account-specific benchmarks for onboarding, activation, and expansion stages. Identify gaps and trends using historical data analysis. Run predictive models for rollbacks, cure rates, and recovery likelihood. Prepare QA sampling and reporting for agent call reviews. Partner with PMs and Portfolio Managers on A/B test results and campaign pivots. What We re Looking For: 2-3 years of analytics experience in fintech, collections, or SaaS. Strong technical skills: Advanced SQL, Excel (macros, pivot tables), BI tools (Power BI, Tableau). Familiarity with AI/ML-based predictive analytics a plus. Knowledge of data privacy and secure handling protocols. Problem-solving mindset with strong communication and storytelling skills. Ability to work in US business hours.

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.

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.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.