4552 Extract Jobs - Page 3

Senior Analyst Tax – Global Finance Operations How is this team contributing to vision of Providence? The Senior Analyst for Global Finance Operations plays a crucial role in performing the work to maintain and ensure accurate and timely financial reporting. This position includes performing operations, meeting SLA and targets, data analysis, report generation, and collaboration with various stakeholders to support the operation. Key Responsibilities • Work closely with the global stakeholders to process and ensure accurate recording (Accruals, Amortization, Allocation, Reclass, etc.), reporting, consolidation and analyzing reports pertaining to Tax accounting. • Prepare Balance Sheet reconciliations covering Tax and related account. Closely monitor and resolve all aged open items and make sure balance is properly supported. • Active participation in performing the monthly, quarterly and annual closing process related to Tax. • Preparation of Tax work papers and matching with the reports. • Reasonable understanding of US Tax laws. • Preparing monthly close reports & variance analysis of various Providence entities to ensure the numbers are materially accurate • Extract, modify and analyze monthly reports as required and resolve queries and complex accounting issues. • Perform Tax related audit deliverables during audit. • Periodic updating of SOPs to make sure any process changes, exceptions and new learnings are updated timely. Competencies • Analytical Thinker: Able to dissect complex financial data and derive meaningful insights • Attention to Detail: Meticulous in maintaining data accuracy and producing error-free reports. • Team Player: Collaborative mindset to build strong and enduring relationships to work effectively with cross-functional teams • Deadline-Driven: Ability to meet tight reporting deadlines and prioritize tasks. • Adaptability: Willingness to adapt to changing business needs and technologies • Problem Solver: Capable of identifying issues timely and proposing solutions • Quick learner: Able to learn and understand end to end Tax accounting processes and system for high quality performance. • Communication: Transparent communications, and alignment between diverse constituents. • ERP: Experience on working with Oracle ERP would be a plus. Who are we looking for? • Preferably CMA / MBA / M.com / Semi qualified with 3 to 5 years (or) CA / CPA with 1 to 2 years of experience in Tax accounting • Excellent communication skills and cross -departmental collaboration skills • Experience in working with global stakeholders• High-performance creativity and “optimistic” personality • Night shift role, EST time zone. Show more Show less

Job Description: The ideal candidate will be responsible for growing revenue through digital media through designing and executing marketing campaigns. After campaigns have been launched, you will extract and analyze data across multiple channels. Responsibilities: ● Maneuver digital marketing campaigns through all areas of the project life cycle ● Clearly understand and implement digital marketing campaigns which fit client needs ● Provide analytical reporting of campaigns to stakeholders ● Work closely with founders, Business Development team and work on managing digital marketing plan and execution ● Work with affiliate partners or end clients as and when necessary ● Concept/ideas needs to be generated and come up with social media postings ● Having exposure to graphic designing will be added advantage Qualifications: ● Experience with SMM, SEO, SEM, Google adds, Email Marketing, lead generation, Strong written, verbal and collaboration skills ● Experience with Client communication ● Have knowledge on creating social media posting using Canva or other graphic designing tools EXPERIENCE : (1-3 Year Exp) Job Type: Full-time Pay: ₹30,000.00 - ₹40,362.05 per month Schedule: Day shift Ability to commute/relocate: Hyderabad, Telangana: Reliably commute or planning to relocate before starting work (Preferred) Application Question(s): Are you okay with the Job Location Suchitra? What is your Current CTC? What is your Expected CTC? Are you an immediate Joiner? Education: Bachelor's (Preferred) Experience: Digital marketing: 1 year (Preferred) Work Location: In person

Influencer.in is India’s largest influencer marketing platform that connects brands with digital influencers. It’s an initiative of India's fastest-growing digital agency, Social Beat with 200+ digital experts across India. With our web & app platform, we help brands create quality content and amplify the reach among the target audience by leveraging 70,000 verified digital influencers across Instagram, Facebook, YouTube, Twitter, Amazon, Linkedin, Moj, TakaTaka, Clubhouse, and industry-specific platforms. We aim to build ground-breaking products in India for the influencer and creator economy. Role and Responsibilities: 1. Lead, identify and proactively onboard influencers on performance campaigns 2. Understand and figure out how to maximize storefront performance by matching the right influencers with the right brands 3. Guide the discussion on product and brand integration in influencers' content. 4. Coordinate and manage expectations in terms of quality and timely delivery from influencers as well as from the internal team 5. Plan association keeping long-term goals in sight. 6. Collaborate with all internal stakeholders to negotiate the best possible terms and establish commercial and strategic agreements with influencers. 7. Monitor and analyze influencer performance and achieve storefront metrics 8. Discern data and extract insightful observations 9. Conduct post-mortems of campaigns and storefront performance; generate reports on key insights, recommendations, and strategic adjustments to drive change for continuous improvement. 10. Developing business driving & communication strategies and assisting clients with future campaign planning. An ideal candidate should have 1. Minimum 6 months - 1 year of relevant experience in influencer marketing 2. Experience in negotiating rates and terms with influencers 3.. Excellent written and verbal communication skills 4. Experience with maintaining professional relationships remotely 5. Strong planning skills: Clearly lay out the steps required to execute a marketing strategy, providing a logical progression from campaign creation to completion. 6. Provide creative input across all campaigns and projects Show more Show less

Data Scientist Job Description Position: Data Scientist Experience Level: [Junior/Mid-level] - 3-5 years Job Summary We are seeking a Data Scientist to join our team to analyze complex datasets, develop machine learning models, and provide data-driven insights to support business decisions. Key Responsibilities Data Analysis & Exploration Perform comprehensive exploratory data analysis (EDA) on large datasets. Identify patterns, trends, and anomalies in data. Conduct statistical analysis to validate business hypotheses. Create data visualizations to communicate findings effectively. Assess and ensure data quality and integrity. Write complex SQL queries to extract and manipulate data Machine Learning & Modeling Design and develop machine learning models for business problems like (XG Boost, Logistic Regression, DNN, RNN etc) Implement supervised and unsupervised learning algorithms Perform feature engineering and selection Evaluate model performance using appropriate metrics Deploy and monitor machine learning models in production Programming & Development Develop data analysis scripts and automation tools using Python Build data pipelines and ETL processes Create reusable code libraries and functions Maintain version control and documentation standards Required Qualifications Technical Skills SQL: Advanced proficiency in writing complex queries, joins, subqueries, and database optimization Python: Strong programming skills in Python for data analysis and machine learning Exploratory Data Analysis: Expertise in EDA techniques, statistical analysis, and data visualization Machine Learning: Solid understanding of ML algorithms, model evaluation, and validation techniques Statistics: Knowledge of statistical methods, hypothesis testing, and experimental design Knowledge of any cloud like AWS, GCP or Azure is good to have Familiarity with version control systems Experience with containerization and deployment tools Good to Have:- Worked on GenAI based Projects Using GenAI for driving productivity in your work. Knowledge of PySpark is a plus Show more Show less

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Scala Good to have skills : NoSQL Minimum 7.5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand data requirements and deliver effective solutions that meet business needs, while also troubleshooting any issues that arise in the data flow and processing stages. Roles & Responsibilities: - Expected to be an SME. - Collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Mentor junior team members to enhance their skills and knowledge in data engineering. - Continuously evaluate and improve data processes to enhance efficiency and effectiveness. Professional & Technical Skills: - Must To Have Skills: Proficiency in Scala. - Good To Have Skills: Experience with NoSQL. - Strong understanding of data pipeline architecture and design. - Experience with ETL tools and frameworks. - Familiarity with data warehousing concepts and technologies. - Proficient in data quality assurance and data governance practices. Additional Information: - The candidate should have minimum 7.5 years of experience in Scala. - This position is based at our Bengaluru office. - A 15 years full time education is required. Show more Show less

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Snowflake Data Warehouse, Core Banking, PySpark Good to have skills : AWS BigData Minimum 5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand data requirements and deliver effective solutions that meet business needs, while also troubleshooting any issues that arise in the data flow and processing stages. Roles & Responsibilities: - Expected to be an SME. - Collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Mentor junior team members to enhance their skills and knowledge in data engineering. - Continuously evaluate and improve data processes to enhance efficiency and effectiveness. Professional & Technical Skills: - Must To Have Skills: Proficiency in Snowflake Data Warehouse, Core Banking, PySpark. - Good To Have Skills: Experience with AWS BigData. - Strong understanding of data modeling and database design principles. - Experience with data integration tools and ETL processes. - Familiarity with data governance and data quality frameworks. Additional Information: - The candidate should have minimum 5 years of experience in Snowflake Data Warehouse. - This position is based in Pune. - A 15 years full time education is required. Show more Show less

Company Description Zenardy is a technology consulting company specializing in implementing NetSuite industry solutions for various verticals including Hi-tech, Food & Beverage, Manufacturing & Distribution, and General Business. Role Description This is a full-time on-site role for a NetSuite Analytics and Warehouse Engineer located in Chennai. The engineer will be responsible for tasks related to data engineering, data modeling, Extract Transform Load (ETL), data warehousing, and data analytics. Qualifications Data Engineering and Data Modeling skills Experience in Extract Transform Load (ETL) processes Data Warehousing and Data Analytics skills Strong problem-solving and analytical skills Proficiency in SQL and other data querying languages Experience with NetSuite or similar ERP systems is a plus Bachelor's degree in Computer Science, Information Technology, or related field Show more Show less

The Senior Analyst for Global Finance Operations plays a crucial role in performing the work to maintain and ensure accurate and timely financial reporting. This position includes performing operations, meeting SLA and targets, data analysis, report generation, and collaboration with various stakeholders to support the operation. Responsibilities · Work closely with the global stakeholders to process and ensure accurate recording (Accruals, Amortization, Allocation, Reclass, etc), reporting, consolidation and analyzing reports pertaining to Payroll accounting· Prepare Balance Sheet reconciliations covering Payroll and related account. Closely monitor and resolve all aged open items and make sure balance is properly supported. · Active participation in performing the monthly, quarterly and annual closing process related to Payroll. · Process Monthly payroll reports. · Process full and final settlements. · Book payroll related accruals like Annual bonus, incentives, Restructuring, etc and true up entries. · Proper accounting of employee deductions, tax deposit to Govt. · Proper accounting for employee benefit schemes like Insurance, Defined contribution pension plans such as the 401(k), Retirement benefits, etc. · Preparing monthly close reports & variance analysis of various Providence entities to ensure the numbers are materially accurate · Extract, modify and analyze monthly reports as required and resolve queries. · Perform Payroll related audit deliverables during audit. · Periodic updation of SOPs to make sure any process changes, exceptions and new learnings are updated timely. Who are we looking for? · Preferably CMA / MBA / M.com / Semi qualified with 3 to 5 years (or) CA / CPA with 1 to 2 years of experience in Payroll accounting ·Excellent communication skills and cross -departmental collaboration skills. ·Experience in working with global stakeholders. ·High-performance creativity and “optimistic” personality. ·Night shift role, EST time zone Show more Show less

Job Description ( Candidates with less than 5 years of experience, please do not apply for this. Wait for my next post for engineer roles) In this role, you will be working with one of the top engineering companies in the world, will be handling complex algorithms involving peta bytes of data. In this role you'll be responsible for building machine learning based systems and conduct data analysis that improves the quality of our large geospatial data. You’ll be developing NLP models to extract information, using outlier detection to identifying anomalies and applying data science methods to quantify the quality of our data. You will take part in the development, integration, productionisation and deployment of the models at scale, which would require a good combination of data science and software development. Responsibilities Development of machine learning models Building and maintaining software development solutions Provide insights by applying data science methods Take ownership of delivering features and improvements on time Must-have Qualifications 6+ years experience Senior data scientist/ML engineer preferable with knowledge of NLP Strong programming skills and extensive experience with PythonProfessional experience working with LLMs, transformers and open-source models from HuggingFace Professional experience working with machine learning and data science, such as classification, feature engineering, clustering, anomaly detection and neural networks Knowledgeable in classic machine learning algorithms (SVM, Random Forest, Naive Bayes, KNN etc). Experience using deep learning libraries and platforms, such as PyTorch Experience with frameworks such as Sklearn, Numpy, Pandas, Polars Excellent analytical and problem solving skillsExcellent oral and written communication skills Extra Merit Qualifications Knowledge in at least one of the following: NLP, information retrieval, data mining Ability to do statistical modeling and building predictive models Programming skills and experience with Scala and/or Java Show more Show less

Company Overview: LSC is a leading life science consulting firm dedicated to providing expert guidance and innovative solutions to our clients in the pharmaceutical, biotechnology, and healthcare industries. We are seeking a talented Social Media Listening Specialist to join our dynamic team and contribute to our mission of delivering high-quality consulting services. Job Summary: As a Social Media Listening Specialist, you will monitor, analyze, and report on trends, insights, and conversations within the pharma, medtech, and life science s industries. You will track discussions from industry experts, influencers, and key opinion leaders (KOLs) to extract valuable insights. This role requires a keen eye for detail, strong analytical skills, and the ability to communicate findings effectively. Key Responsibilities: Social Listening & Monitoring : Track conversations and trends on platforms like Twitter, LinkedIn, Instagram, and industry forums to identify key topics, shifts, and emerging themes Analysis & Insights Developmen t: Gather and synthesize data from industry experts, KOLs, and influencers to develop actionable insights Trend Identification : Identify relevant industry trends, hashtags, and topics, providing insights into what’s driving discussions Content Analys is: Evaluate content shared by industry leaders to understand emerging strategies, themes, and best practices Report Generatio n: Create and present regular reports highlighting key findings, insights, and actionable recommendations Stakeholder Collaboratio n: Work closely with internal teams to ensure insights align with business objectives Tool Utilizatio n: Use social media listening tools (e.g., Brandwatch, BuzzSumo, Sentione, Hootsuite Insights, Devi AI, Quid, LinkedIn Sales Navigator, Google Trends, Synthesio, Talkwalker, Sprinklr, Meltwater, Pulsar) to collect, filter, and interpret data effectivelly Competitor Monitoring : Track and report on competitor activities and their engagement with industry influencers and KOLs Qualification: Bachelor’s degree in Marketing, Communications, Data Analytics, or a related field Prior experience in social media listening, analytics, or related roles within the pharmaceutical, medtech, or life sciences industry is required Proficiency with social media listening tools such as Brandwatch, BuzzSumo, Sentione, Hootsuite Insights, Devi AI, Quid, LinkedIn Sales Navigator, Google Trends, Synthesio, Talkwalker, Sprinklr, Meltwater, and Pulsar Strong analytical skills with the ability to interpret and present data meaningfully Excellent written and verbal communication skills Ability to work independently and collaboratively in a fast-paced environment Strong attention to detail and a proactive approach to monitoring industry conversations Compensation Competitive compensation based on candidate’s experience Additional information regarding our company and recruiting process can be found here: Website: https://consultingls.com/ LinkedIn: https://www.linkedin.com/company/lifesciences-consulting-l.s. Show more Show less

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Snowflake Data Warehouse, PySpark, Core Banking Good to have skills : AWS BigData Minimum 7.5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand data requirements and deliver effective solutions that meet business needs, while also troubleshooting any issues that arise in the data processing workflow. Your role will be pivotal in enhancing the efficiency and reliability of data operations within the organization. Roles & Responsibilities: - Expected to be an SME. - Collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Mentor junior team members to enhance their skills and knowledge in data engineering. - Continuously evaluate and improve data processing workflows to optimize performance. Professional & Technical Skills: - Must To Have Skills: Proficiency in Snowflake Data Warehouse, Core Banking, PySpark. - Good To Have Skills: Experience with AWS BigData. - Strong understanding of data modeling and database design principles. - Experience with data integration tools and ETL processes. - Familiarity with cloud-based data solutions and architectures. Additional Information: - The candidate should have minimum 7.5 years of experience in Snowflake Data Warehouse. - This position is based in Pune. - A 15 years full time education is required. Show more Show less

Job Responsibilities: 1. Participate in and lead the entire process of planning for the exploration and packaging of mobile phone products, be responsible for exploring and packaging the core selling points, product value, product stories, and consumer benefits of the Indian series of products, and determine the product positioning and promotion strategies. 2. Deeply research the products, analyze the competitive advantages and disadvantages, transform the professional product knowledge into marketing language, conduct product story packaging and product selling point communication planning, ensure the transmission and expression of the core product information, and output the core FABE of the product/keynote of the launch event/copy on the official website/speech draft of the launch event/slogan, etc. 3. Be responsible for the communication of the core content planning of the product (in the form of video/copy / graphic, etc.) on the social media and public relations side, participate in the production of core materials and control. 4. Participate in the pre-marketing product planning. Based on the understanding of the industry and users, input marketing-end product insights at the product project establishment stage to ensure the competitiveness of the product. Requirements: 1. Bachelor's degree or above, with 3-5years of relevant working experience; familiar with the 3C industry, IoT or Internet industry experience is preferred, and experience in marketing planning, product public relations, digital marketing, etc. is preferred. 2. Have strong product understanding and insight capabilities, be able to put forward requirements for the product from the user's perspective, and also be able to extract good product stories from the user's perspective. 3. Fluent in English, have certain bilingual copywriting capabilities in Chinese and English, have good writing expression skills, and can transform the product language into simple and understandable user communication language. Show more Show less

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : PySpark Good to have skills : NA Minimum 5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand their data needs and provide effective solutions, ensuring that the data infrastructure is robust and scalable to meet the demands of the organization. Roles & Responsibilities: - Expected to be an SME. - Collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Mentor junior team members to enhance their skills and knowledge in data engineering. - Continuously evaluate and improve data processes to enhance efficiency and effectiveness. Professional & Technical Skills: - Must To Have Skills: Proficiency in PySpark. - Strong understanding of data modeling and database design principles. - Experience with ETL tools and data integration techniques. - Familiarity with cloud platforms such as AWS or Azure for data storage and processing. - Knowledge of data warehousing concepts and best practices. Additional Information: - The candidate should have minimum 5 years of experience in PySpark. - This position is based in Mumbai. - A 15 years full time education is required. Show more Show less

LSC (Lifesciences Consultants) is a leading consulting firm in the Pharma/Biopharma/Medtech industry, providing strategic insights to clients worldwide. We are seeking highly motivated and skilled Research Analysts to join our dynamic team. Job Summary: As a Research Analyst, your primary responsibility will be to conduct comprehensive secondary research and gather competitive intelligence in the Pharma/Biopharma/Medtech sector. You will play a crucial role in supporting our client engagements and contribute to the generation of valuable market insights. The ideal candidate should possess relevant experience in Pharma/Biopharma/Medtech market research and have a thorough understanding of both free and proprietary databases in the industry. Key Responsibilities: •Conduct in-depth secondary research to gather data on Pharma/Biopharma/Medtech industry trends, market dynamics, and competitor activities. •Utilize various databases and sources to extract, analyze, and synthesize relevant information for client projects. •Keep abreast of the latest industry developments, regulatory changes, and technological advancements in the life sciences sector. •Collaborate with cross-functional teams to contribute to strategic projects and assist in generating actionable recommendations. •Prepare comprehensive reports and presentations summarizing research findings, competitive landscapes, and market opportunities. •Assist in the development of data-driven insights to support strategic decision-making for clients. Qualifications and Experience: •Bachelor's degree in Life Sciences, Pharmacy, Biotechnology, Business Administration, or a related field. • Experience in Pharma/Biopharma/Medtech market research or competitive intelligence. •Familiarity with a wide range of secondary research methodologies and data analysis techniques. •In-depth knowledge of the Pharma/Biopharma/Medtech industry, including key players, products, and market trends. •Strong proficiency in utilizing free and proprietary databases for industry-specific research. •Proficient in using market research tools, data visualization software, and MS Office Suite (Excel, PowerPoint, Word). •Excellent analytical, critical thinking, and problem-solving skills with acute attention to detail. •Effective communication and presentation abilities, both written and verbal. •Ability to work independently and efficiently in a fast-paced, deadline-driven environment. Show more Show less

Job Summary We are seeking a highly skilled and detail-oriented Senior SQL Data Analyst to join our data-driven team. This role will be responsible for leveraging advanced SQL skills to extract, analyze, and interpret complex datasets, delivering actionable insights to support business decisions. You will work closely with cross-functional teams to identify trends, solve problems, and drive data-informed strategies across the organization. Key Responsibilities Develop, write, and optimize advanced SQL queries to retrieve and analyze data from multiple sources. Design and maintain complex data models, dashboards, and reports. Collaborate with stakeholders to understand business needs and translate them into analytical requirements. Conduct deep-dive analysis to identify key business trends and opportunities for growth or improvement. Ensure data integrity and accuracy across systems and reporting tools. Automate recurring reports and develop scalable data pipelines. Present findings in a clear, compelling way to both technical and non-technical audiences. Qualifications Required: Bachelor's degree in Computer Science, Information Systems, Mathematics, Statistics, or related field. 5+ years of experience in data analysis or a similar role with a strong focus on SQL. Expert proficiency in SQL (window functions, joins, CTEs, indexing, etc.). Strong understanding of data warehousing concepts and relational database systems (e.g., PostgreSQL, SQL Server, Snowflake, Redshift). Experience with BI tools like Tableau, Power BI, or Looker. Excellent analytical, problem-solving, and communication skills. Preferred Experience with scripting languages (Python, R) for data manipulation. Familiarity with cloud data platforms (AWS, Azure). Knowledge of ETL tools and best practices. Previous experience in a fast-paced, agile environment. Show more Show less

Techmantu is a 10+ year-old digital media consultancy specializing in strategy, implementation, and operations in digital marketing and skilling. The Shared Services team plays a critical role in supporting multiple practice areas, including Techmantu Marketing and Techmantu Skilling, by enabling seamless operational workflows and ensuring high-quality project delivery. We are looking for Data Analysts to contribute to our consulting engagements across both digital marketing and skilling domains, driving data-driven insights that enhance decision-making, performance optimization, and project success. Key Skills: Data Extraction, Data Cleansing, Data Manipulation, Data Design, Data Analysis, Data Measurement & Collection, Building Data Dashboards, Experiment Design, Marketing Campaign Analysis, Marketing Asset Analysis and Optimization, Web Analytics, Paid Media Analytics, Social Media Analytics, Customer Data Analytics, eCommerce Analytics, Competitor Analytics. Job Description : Techmantu Data Analysts are data champions within our Center of Excellence for Data and Technology – Techmantu Labs. Techmantu Labs comprises specialists with a deep understanding of data and technology to support digital marketing and skilling operations. Our Data Analysts operate as integral members of Techmantu’s project delivery teams, working across both marketing and skilling engagements to build, maintain, and optimize data assets that drive measurable outcomes. To be effective, Techmantu Data Analysts should take on the following responsibilities: Data Management Lifecycle: ● Extract, cleanse, and reorganize data from both primary and secondary sources for use in both marketing and skilling contexts. ● Perform quality assessments on data, identifying patterns, trends, and predictions to inform decision-making across the business. ● Prepare analysis reports and recommendations to be shared with internal and external stakeholders, driving data-backed decisions in marketing and skilling engagements. Digital Tracking Mechanisms: ● Work with developers and project teams to implement and monitor tracking mechanisms across marketing assets and skilling platforms, ensuring data accuracy and ongoing performance tracking. Dashboard Management (Marketing & Skilling): ● Build and manage performance dashboards for both marketing campaigns and skilling initiatives, ensuring accurate and timely data reporting. ● Regularly update dashboards and datasets, clean and preprocess data, and ensure actionable insights are derived from the analysis. Web & Digital Asset Analytics: ● In addition to setting up standard web reports, continually mine web analytics tools like Google Analytics & other measurement tools for nuggets of information and insights to improve website performance. ● Collect and analyze website user data, and provide insights for optimizing user experiences. Performance Analysis: ● Design and optimize measurement strategies for both marketing campaigns and skilling programs, ensuring actionable insights for performance improvement. ● Analyze the performance and ROI of campaigns, skilling initiatives, and other assets, using industry-standard metrics and indicators. Campaign Experiment Design: ● Work with delivery teams to design campaign experiments that will produce statistically sound, actionable results. ● Help run experiments (test campaigns), analyze key metrics, and identify opportunities to improve campaign performance. ● Develop and present learnings from analyses, including actionable insights and recommendations. Competitor Analysis: ● Conduct market research to analyze the competitive landscape, determine brand perceptions, identify new market opportunities, and help with the overall SWOT analysis for all new products. Requirements: Please send in an application if the following applies to you: ● Have a postgraduate degree in Business Management, Computer Science, Engineering, Math, Economics, or equivalent background. ● Have outstanding academic achievement with at least a first class. ● Have had 2-5 years of experience in the areas of digital media, marketing, marketing technology, and data, with a desire for an intense problem-solving environment. ● Have strong exposure to one or many generic measurement and analysis tools such as Microsoft Excel, Python, Google Sheets, SAS, SPSS, MATLAB, and one or many marketing-specific measurement tools such as Google Analytics, WebTrends & Omniture. ● Have quality data, verbal, and written communication skills. ● Have strong problem-solving skills, a demonstrated aptitude for dealing with complexity, continuous learning, and an eye for detail. Techmantu Data Analysts will need to work out of Techmantu’s offices in Koramangala, Bangalore – until they become eligible for our flexible, hybrid-remote working option. Why Join Us? Techmantu offers industry standard pay-packages. Techmantu Data Analysts will be provided the necessary preparatory and on-the-job training on the skills & knowledge, and Techmantu’s approach to be effective in their jobs. Techmantu Data Analysts will be under the mentorship and guidance of a Senior Manager in Techmantu Shared Services. Show more Show less

Our client is a trusted global innovator of IT and business services. They help clients transform through consulting, industry solutions, business process services, digital & IT modernization and managed services. Our client enables them, as well as society, to move confidently into the digital future. We are committed to our clients’ long-term success and combine global reach with local client attention to serve them in over 50 countries around the globe. Job Title: SAP BODS (Data Migration) Location: Hyderabad Experience: 5+ yrs Job Type : Contract to hire Notice Period:- Immediate joiner Mandatory Skills 2-4 Yrs. of overall technical experience in SAP BODS with all the SAP BODS application modules (Extract, Transform, Load) 1-2 Yrs. of experience with Data Migration experience with S/4 HANA/ECC Implementations Experience in BODS Designer Components- Projects, Jobs, Workflow, Data Flow, Scripts, Data Stores and Formats Experience in BODS performance tuning techniques using parallel processing (Degree of Parallelism), Multithreading, Partitioning, and Database Throughputs to improve job performance Experience in ETL using SAP BODS and SAP IS with respect to SAP Master / Transaction Data Objects in SAP FICO, SAP SD, SAP MM/WM, SAP Plant Maintenanc Show more Show less

Position Summary Futures First is a part of the Hertshten Group, its holding company which has raised the benchmarks for excellence in the international derivatives industry. Futures First benefits from the significant experience of the Hertshten Group in derivatives markets across global financial exchanges. This is an exciting challenge and an excellent opportunity for bright, analytical, highly motivated professionals to join a vibrant and global organization. At Futures First, we are dedicated to empowering our team with cutting‑edge technology, comprehensive training, dependable infrastructure, and ongoing learning opportunities—enabling everyone to produce high‑caliber work while advancing both professionally and personally. Job Profile We are seeking a detail-oriented and analytical Data Analyst to join our team. The ideal candidate will have a strong background in data analysis, MIS reporting, and proficiency in Excel, VBA Macros, SQL, Python, and Power BI/Qlik Sense. This role involves transforming data into actionable insights to support business decisions. Key Responsibilities: Develop, maintain, and automate MIS reports and dashboards to support various business functions. Utilize advanced Excel functions including VBA Macros, for data analysis, reporting and automation. Write complex SQL queries to extract, manipulate, and analyze data from relational databases. Employ Python for data cleaning, analysis, and visualization tasks. Design and implement interactive dashboards and reports using Power BI/Qlik Sense to visualize key performance indicators and trends. Collaborate with cross-functional teams to understand data requirements and deliver insights. Ensure data accuracy and integrity across all reporting platforms. Requirements Education Qualifications Bachelor's or Master’s in any discipline Work Experience Minimum of 3 years of experience in data analysis or a similar role Skill Set Any certification in data analysis would be an added advantage Good analytical, logical and communication skills Proficiency in Microsoft Excel, including advanced functions and VBA Macros. Strong knowledge of SQL and Python for data querying and manipulation. Good to have hands on experience on one of the self-serviced BI tools like Power BI or Qlik Sense. Location: Gurgaon, Haryana Experience: 3+ Years Employment Type: Full-time Show more Show less

Job Purpose To design new dashboards /complex reports in Qlik Sense and Nprint. Write SQL and Prepare report in SSRS/Analytical Tool. To modify and provide support to the existing dashboards creating the next major release that incorporates new features from user feedback. To monitor and support the existing Qlik and Nprint Tasks. Should be able to handle the QLIK Replicate Tool (CDC). Core Responsibilities Participate in full development lifecycle from system design, development, and testing and production implementation Extract, transform and load data from multiple sources into Qlik Sense Write Query in MS SQL and prepare report as per business need Perform data and systems analysis to translate business needs into technical code, as well as maintain and support code Troubleshoot issues with existing data model and dashboards Modify existing dashboards creating the next major release that incorporates new features from user feedback Monitor the current ongoing Tasks Understanding of Database design and manage the Database from BI perspective Should able to handle the QLIK Replicate Tool (CDC) CTC - 15 LPA - 20 LPA Show more Show less

About Intellismith Intellismith, founded in 2019, is a dynamic HR service and technology startup. Our mission is to tackle India’s employability challenges head-on. We specialize in scaling talent acquisition and technology resource outsourcing. Also, as an IBM and Microsoft Business Partner, we leverage industry-leading solutions to enhance and diversify our offerings. As we chart our growth trajectory, we’re transitioning from a service-centric model to a product-focused company. Our journey involves building a cutting-edge skilling platform to empower Indian youth with domain-specific training, making them job-ready for the competitive market. Why Join Intellismith? Impactful Mission: Be part of a forward-thinking organisation committed to solving employability challenges. Your work directly contributes to bridging the skills gap and transforming lives. Innovation and Growth: Contribute to our exciting transition from services to products. Shape the future of our skilling platform and impact Indian youth positively. Collaborative Environment: Work alongside talented professionals across multiple locations. Our diverse teams foster creativity and learning. Entrepreneurial Spirit: Intellismith encourages fresh ideas and entrepreneurial thinking. Your voice matters here. As a leading outsourcing partners, we are hiring a Data Annotator to work on a project for our client, which is the largest provider of telecoms and mobile money services in 14 countries spanning Sub-Saharan, Central, and Western Africa. Purpose: A Data Annotator/Labeler will be responsible for creating high-quality labeled datasets used for various analytical purposes. This role involves working with multiple data types including images, text, audio to prepare structured datasets according to project guidelines. The work supports the development of data-driven solutions across multiple industries and applications. Job Details Experience required- 3-5 years of experience in data annotation. CTC Bracket - Competitive and commensurate with experience Qualification- BE / B Tech / MCA / BCA / MTech. Location - Gurugram (WFO - 5 days) Notice Period: Immediate to 15 days (Candidates with notice period of less than 30 days are preferred) Mandatory Skills: Must have experience of Annotation tools Must have experience of Excel for data entry & reporting Required Skills: Strong attention to detail and consistency in labeling tasks Proficiency with Excel for data entry and reporting Excellent judgment skills for establishing and maintaining quality standards Experience with basic data annotation tools and platforms Ability to follow detailed guidelines while maintaining efficiency Visual analysis capabilities for image-based work Good listening skills for audio processing tasks when required Good communication skills for clarifying requirements and reporting issues Ability to maintain focus during repetitive tasks while ensuring quality Responsibilities: Review and label various types of data according to established guidelines Process images through detailed visual inspection, comparison, and categorization Identify visual elements, objects, or features within images based on project criteria Evaluate image quality and apply appropriate quality benchmarks Perform structured data entry and organization tasks using Excel and other tools Apply judgment skills to maintain quality standards across processes Analyze text data for relevant patterns, topics, or characteristics Create classification schemas for organizing related data points Extract key information from documents and structured sources Complete annotation tasks with high accuracy while meeting productivity targets Preferred qualifications: Previous experience in data annotation, data entry, or related fields 3-5 years Familiarity with different annotation methodologies (bounding boxes, semantic segmentation, etc.) Basic understanding of machine learning concepts and data applications Background in quality assurance or data validation #DataAnnotation #CVAT #Annotator #Labeling #immediatejoiners #Career #Jobopportunity Show more Show less

Job title: Social Media Marketing Manager Experience : 3-4 yrs. of relevant experience Location: CG Road, Ahmedabad In pursuit of this, we seek to hire a talented "Social Media" with at least 3-4 yrs. of full-time relevant experience with a strong technical knowledge base to manage & deliver the best paid digital media campaigns to our clients. The purpose of this role is to assist with the planning, reviewing and optimization of Paid Social campaigns whilst supporting the team in reporting and managing client accounts. Key Responsibilities: Campaign Management: Plan, create, and oversee performance marketing campaigns across Meta Ads, LinkedIn and Google Ads (overview only). Full-funnel optimization experience from awareness through conversion, including sophisticated ad-to-landing page alignment techniques. Creative direction talent with proven ability to conceptualize compelling ad concepts and guide design teams toward high-converting assets. Advanced campaign tracking and attribution capabilities, translating complex data into actionable optimization strategies that drive business results. Effective ad-budget management to maximize the ROI while maintaining growth momentum. Implement audience segmentation strategies to target the right demographics and improve conversion rates. Monitor competitor activity and adjust strategies to maintain a competitive edge. Collaborate with creative teams to ensure ads are engaging and aligned with brand messaging. Develop comprehensive media plans to strategically allocate budgets across platforms and campaigns. Effectively manage advertising budgets to maximize ROI while sustaining growth momentum. Data Analysis & Reporting: Analyze campaign performance metrics to extract insights and identify areas for optimization. Generate detailed reports to communicate key findings and actionable recommendations to stakeholders. Collaboration: Work closely with cross-functional teams, including creative, analytics, and product teams, to ensure seamless campaign execution. Coordinate with external vendors and partners to explore growth opportunities and optimize campaigns. Social Media Management: Develop, implement, and manage social media calendars across platforms (Facebook, Instagram, LinkedIn, etc.) Create, schedule, and publish engaging content (text, images, videos, and infographics). Engage with followers, respond to comments/messages, and build an interactive community. Collaborate with designers, content creators, and marketing teams to ensure consistent brand messaging. Qualifications & Experience: Proven expertise in running Meta ads & LinkedIn ads campaigns. Strong understanding of brand marketing strategies on digital platforms such, META, Google Ads, LinkedIn ads 3-4 years of hands-on experience in performance marketing with a focus on META Ads and Overview of Google Ads Proficiency in analytics platforms like Google Analytics Strong analytical skills and a data-driven decision-making approach. Excellent communication skills, both written and verbal. Passion for keeping up with evolving marketing trends and technologies. Bachelor's degree in marketing, business, technical or a related field. An MBA is a plus. Apply Now- hr@psmdigitalagency.com Visit our website-https://psmdigitalagency.com/ Contact no-91044 94644 Show more Show less

Job Title: Data Analyst Location: Jaipur Experience: 1 - 3 years Job Description We are looking for a Data Analyst to join our team and help us turn data into actionable insights. This role requires a strong analytical mindset, hands-on experience with Excel, Power BI, Python, and APIs , and the ability to drive data-driven decision-making. Key Responsibilities Data Analysis Reporting Create statistical reports for sales and analyze data from marketplaces such as Amazon and eBay . Develop reports that provide insights for Marketing, Sales, and Product teams. Analyze pricing trends, inventory levels, and competitor performance across platforms. Performance Tracking Optimization Develop and analyze reports for PPC performance and organic growth on Amazon, eBay, Google Ads, etc. Use Excel and Power BI to design interactive dashboards for data visualization. Track competitors progress and provide insights for strategic decision-making. Monitor the impact of changes using the PDCA-cycle (Plan, Do, Check, Act). Technical Skills Automation Utilize Python for data analysis and automation of reporting tasks. Work with APIs to extract and analyze data from multiple platforms. Implement automated solutions for data collection, processing, and visualization. Candidate Profile Expert in Excel with advanced functions and data visualization skills. Knowledge of Power BI and experience in dashboard creation is an advantage. Strong proficiency in Python for data manipulation and analysis. Experience working with APIs for data extraction and automation. Ability to convert analytical insights into actionable recommendations . Experience with Amazon, eBay, or other e-commerce platforms is preferred. At least 1 year of relevant work experience in data analytics or a similar field. Excellent English communication skills (written oral). A proactive, detail-oriented approach with the ability to multitask. Strong problem-solving skills and the ability to work cross-functionally. If you're a data-driven individual who loves numbers, insights, and automation, we'd love to hear from you! Apply Now: Send your resume to [hr@mmobiel.com] or DM us for more details. #Hiring #DataAnalyst #Python #PowerBI #APIs #Ecommerce #DataDriven #Analytics This job is provided by Shine.com Show more Show less

Level AI was founded in 2019 and is a Series C startup headquartered in Mountain View, California. Level AI revolutionizes customer engagement by transforming contact centers into strategic assets. Our AI-native platform leverages advanced technologies such as Large Language Models to extract deep insights from customer interactions. By providing actionable intelligence, Level AI empowers organizations to enhance customer experience and drive growth. Consistently updated with the latest AI innovations, Level AI stands as the most adaptive and forward-thinking solution in the industry. Empowering contact center stakeholders with real-time insights, our tech facilitates data-driven decision-making for contact centers, enhancing service levels and agent performance. As a vital team member, your work will be cutting-edge technologies and will play a high-impact role in shaping the future of AI-driven enterprise applications. You will directly work with people who've worked at Amazon, Facebook, Google, and other technology companies in the world. With Level AI, you will get to have fun, learn new things, and grow along with us. Ready to redefine possibilities? Join us! We'll love to explore more about you if you have Qualification: B.E/B.Tech/M.E/M.Tech/PhD from tier 1 engineering institutes with relevant work experience with a top technology company in computer science or mathematics-related fields with 3-5 years of experience in machine learning and NLP Knowledge and practical experience in solving NLP problems in areas such as text classification, entity tagging, information retrieval, question-answering, natural language generation, clustering, etc 3+ years of experience working with LLMs in large-scale environments. Expert knowledge of machine learning concepts and methods, especially those related to NLP, Generative AI, and working with LLMs Knowledge and hands-on experience with Transformer-based Language Models like BERT, DeBERTa, Flan-T5, Mistral, Llama, etc Deep familiarity with internals of at least a few Machine Learning algorithms and concepts Experience with Deep Learning frameworks like Pytorch and common machine learning libraries like scikit-learn, numpy, pandas, NLTK, etc Experience with ML model deployments using REST API, Docker, Kubernetes, etc Knowledge of cloud platforms (AWS/Azure/GCP) and their machine learning services is desirable Knowledge of basic data structures and algorithms Knowledge of real-time streaming tools/architectures like Kafka, Pub/Sub is a plus Your role at Level AI includes but is not limited to Big picture: Understand customers’ needs, innovate and use cutting edge Deep Learning techniques to build data-driven solutions Work on NLP problems across areas such as text classification, entity extraction, summarization, generative AI, and others Collaborate with cross-functional teams to integrate/upgrade AI solutions into the company’s products and services Optimize existing deep learning models for performance, scalability, and efficiency Build, deploy, and own scalable production NLP pipelines Build post-deployment monitoring and continual learning capabilities. Propose suitable evaluation metrics and establish benchmarks Keep abreast with SOTA techniques in your area and exchange knowledge with colleagues Desire to learn, implement and work with latest emerging model architectures, training and inference techniques, data curation pipelines, etc To learn more visit : https://thelevel.ai/ Funding : https://www.crunchbase.com/organization/level-ai LinkedIn : https://www.linkedin.com/company/level-ai/ Show more Show less

Orion Innovation is a premier, award-winning, global business and technology services firm. Orion delivers game-changing business transformation and product development rooted in digital strategy, experience design, and engineering, with a unique combination of agility, scale, and maturity. We work with a wide range of clients across many industries including financial services, professional services, telecommunications and media, consumer products, automotive, industrial automation, professional sports and entertainment, life sciences, ecommerce, and education. Responsibilities Build and maintain the infrastructure for data generation, collection, storage, and processing. Design, build, and maintain scalable data pipelines to support data flows from various sources to data warehouses and analytics platforms. Develop and manage ETL (Extract, Transform, Load) processes to ensure data is accurately transformed and loaded into the target systems. Design and optimize databases, ensuring performance, security, and scalability of data storage solutions. Integrate data from various internal and external sources into unified data systems for analysis. Work with big data technologies (e.g., Hadoop, Spark) to process and manage large volumes of structured and unstructured data. Implement and manage cloud-based data solutions using Azure & Fabric platforms. Ensure data quality by developing validation processes and monitoring for anomalies and inconsistencies. Work closely with data scientists, analysts, and other stakeholders to meet their data needs and ensure smooth data operations. Automate repetitive data processes and workflows to improve efficiency and reduce manual effort. Implement and enforce data security protocols, ensuring compliance with industry standards and regulations. Optimize data queries and system performance to handle large data sets efficiently. Create and maintain clear documentation of data pipelines, infrastructure, and processes for transparency and training. Set up monitoring tools to ensure data systems are functioning smoothly and troubleshoot any issues that arise. Stay updated with emerging trends and tools in data engineering and continuously improve data infrastructure. Qualifications Azure Solution Architect certification preferred Microsoft Fabric Analytics Engineer Associate certification preferred 5+ years of architecture experience in the technology Operations/Development using Azure technologies. Strong experience in Python and PySpark required Strong understanding and experience in building lake houses, data lakes and data warehouses Strong experience in Microsoft Fabric technologies. Good understanding of the Scrum Agile methodology Strong experience with Azure Cloud technologies Solid knowledge of SQL, and non-relational (NoSQL) databases Solid knowledge of networking, firewalls, load balancers etc. Exceptional communication skills and the ability to communicate appropriately with technical teams Familiarity with at least one of the following code build/deploy tools Azure DevOps or GitHub Actions Orion is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, citizenship status, disability status, genetic information, protected veteran status, or any other characteristic protected by law. Candidate Privacy Policy Orion Systems Integrators, LLC And Its Subsidiaries And Its Affiliates (collectively, “Orion,” “we” Or “us”) Are Committed To Protecting Your Privacy. This Candidate Privacy Policy (orioninc.com) (“Notice”) Explains What information we collect during our application and recruitment process and why we collect it; How we handle that information; and How to access and update that information. Your use of Orion services is governed by any applicable terms in this notice and our general Privacy Policy. Show more Show less

Role Definition: No ‘one’ marketing solution works for all. The role demands taking 100% responsibility for managing, renewing and promoting an existing account of business while identifying new business opportunities within named accounts. It’s imperative to possess strong relationship-building skills and have a knack for resolving contractual, technical and financial issues with partners in order to best represent our users, products, and campaigns. Key Responsibilities: Onboarding and managing Key Account Business Schools and Universities at PaGaLGuY.com, using products such as banners, mailers, social media advertising, native ads etc with the objective of increasing the demand and awareness in the target aspirant pool. Analyse campaign plan and performance, using various Digital Marketing tools like Google Analytics, Google Ad Manager, Meta Ads, emailer tools etc. Help in strategising the content and communication plan for all our clients to facilitate them in highlighting their USP. Getting approval from clients on any creatives/content before it goes live. Closely work with the Graphic Designer to ensure all the banners and creatives are in place and in time. Conducting training of students at business schools on how to use the PaGaLGuY community effectively to achieve maximum awareness about the business school. Reviewing all campaign delivery daily and making necessary changes to ensure complete delivery to the client. To extract data accurately and publish reports to clients regularly. Responsible for up-selling and cross-selling our products to the existing client base. Maintain cordial relationships with the clients to ensure sustenance. Be responsible for end-to-end campaign onboarding and execution. Key Competencies for the Role: Good verbal and written communication skills Good Interpersonal skills Efficient and organised Operationally Driven and Meticulous Strong Analytical skills Task-oriented and disciplined Eye for detail & Problem Solver Keen learner Willing to do more with less Other requirements: Broad understanding of Digital Marketing tools like Meta, Instagram, Google etc. and/or Education industry knowledge Broad understanding of online advertising (i.e., ad-serving networks) Knowledge of Google Analytics Comfortable operating in a rapidly changing, fast-paced industry with the ability to manage an evolving product set and client needs Ability to convince, manage and maintain excellent relationships with clients Good knowledge of Emailing tools like Netcore, SendGrid etc. Proficient in Microsoft Word, Excel and PowerPoint Content Creation Show more Show less