At EliteRecruitments, we are the premier destination for companies seeking top talent in the analytics domain. Our team of experienced data analyst recruiters leverages their deep knowledge on the wide spectrum of AI & ML to synergize candidates’ talents with rewarding career opportunities.
As AI and ML have become integral parts of each business, it’s essential to go for the right analysts. That’s where EliteRecruitments, a top data analyst recruiters, hits the bull’s eye. When you put your best effort into achieving excellence, you will find partnering with us worthy. We support the recruitment needs of the fintech, insurance, banking, retail, hospitality, pharma and consulting industries in this portfolio. EliteRecruitments patron expert data analyst recruiters who help you stay competitive with candidates having powerful ML models, programming, Mathematics/Statistics skills. We bring a wealth of knowledge and expertise in evaluating and hiring experienced predictive modeling experts trained to handle business uncertainties. Our consultants also help companies establish specific job parameters to ensure the skills and expertise levels of aspiring AI data experts. So, join the ranks of successful organizations and supercharge your analytics team’s potential with our expert guidance and support.
EliteRecruitments is a premium platform for individuals who want to build their future in analytics. With the proven track record of connecting AI experts with critical data roles across India, our data analyst recruiters expert helped aspiring AI and ML professionals find jobs in reputed organizations focusing on AI, Machine Learning, IOT, Predictive modeling and other emerging technologies. Whether you’re looking for a new challenge as a data analyst, pharmaceutical analysts, production analysts, hospitality analysts, financial analysts, or production analyst, we can help you empower your career. EliteRecruitments connects you with top employers seeking talent like yours, offering diversified job options to fit your skills and aspirations. Join us today and take the necessary steps to secure an attractive position where you can use your analytical skills to make informed decisions and unlock endless career opportunities in the thriving career of analytics.
Find Analytics Jobs By Leading Data Analyst Recruiters
Delhi NCR/Bangalore/Kolkata/MumbaiHiring Actuaries for a leading Consultancy. The incumbent must have experience in modelling MG-ALFA/ GGY Axis/ Prophet/ Moses 8& RAFM
RemoteCandidate should have 2-8 years of actuarial reserving experience (life or P&C) with at least 6 months of experience in IFRS17.
Delhi NCR/Bangalore/Kolkata/Mumbai1-8 years of actuarial experience in pensions domain with atleast 1 actuarial exam. Experience in Hongkong/Asia pensions will be preferred
Remote/Delhi NCR/Bangalore/KolkataT-IO years of actuarial pricing experience with atleast 2 actuarial exams.
AI experts are poised to become the driving force behind business decision-making, utilizing their mastery in skills, including natural language processing, data mining, deep learning, and mathematical patterns, to tackle complex analytical challenges. These professionals play a crucial role in data analysis, creating precise statistical models, and implementing sophisticated quantitative techniques to aid organizations in making informed decisions. Let’s examine the various specializations and job positions available for AI & ML professionals:
Predictive modeling experts in insurance leverage Artificial Intelligence and Machine Learning to perform specific computer programs that extract, reshape, transform, and analyze critical information about finance and insurance. Insurance predictive modelers help to identify and assess risks associated with various insurance policies. It includes analyzing historical claim data to determine the likelihood of future losses and estimating potential costs. Insurance companies use analytics to evaluate underwriting and claim management.
Marketing analytics professionals analyze raw sales data and historical sales trends collected from companies. They closely monitor and cultivate this data to determine and predict the future return on investment (ROI) by focusing on the previous ROI of the company and reviewing the relationship between existing marketing expenses and conversion. They perform continuous tracking and analysis of the ROI generated from marketing efforts. By leveraging detailed statistical and predictive modeling analysis, marketing analysts craft a data-driven and ROI-focused marketing strategy for the organization's future success.
The profession of HR analytics, also known as people analytics, leverages Artificial Intelligence to determine and formulate effective HR policies for organizations. These professionals use AI to collect, compile, analyze, and review critical HR data, including attendance rates, recruit profiles, wage policies, employee turnover ratios, and workforce planning, to evaluate the strengths and weaknesses of an organization's HR policies. They analyze HR data and metrics related to recruitment, retention, compensation, and legal compliance using AI algorithms, generating a detailed analytical report. Based on these AI-powered insights, management can make informed decisions and formulate effective HR strategies for the organization.
Operations analytics are known for solving internal challenges and problems of organizations. They also develop an effective goal-oriented strategy for organizations. In addition, they are also responsible for managing data, client reporting, trade practices, and operational processes. They also assist the client support service department and operations team to streamline the operational processes and workflow. They follow a detailed step-by-step approach to identify the critical issues faced by the organization and help them coordinate better among themselves. They help the operations team address the research issues and formulate practical solutions to yield results.
Sales analysts collect information about past sales records and analyze them to provide organizations with valuable insights that help them make better decisions. They carefully consider various factors related to sales and take external factors into account as well.Based on the detailed analysis, sales AI professionals deliver accurate projections for future sales. In addition, they compile and evaluate sales data to identify the factors influencing the sales growth. They also predict the possible sales outcome of the organizations accurately and provide valuable suggestions to improve the future sales performance.
Banking analytics or banking business analytics is responsible for overseeing all types of banking transactions, loan structure, interest details, cash flow statements, and fund flow records. They analyze and evaluate each transaction carefully to review the financial position of a bank. In addition, they generate a summary report to notify and inform the higher management about a bank's risk and return ratio. Based on the reports made by them, the future financial strategy of a bank is developed. They also examine each aspect of the banking business and identify future opportunities and avenues of investment. They pass critical judgment on the future course of action.
Retail analytics play a vital role in FMCG and consumer-focused industries. They carefully analyze, examine, evaluate and manage the flow of information in the retail industry and provide business insights to the management to aid better decision-making. They also interpret critical factors involved in the data and take a data-driven approach to analyze past performances. They examine quantitative and qualitative data to create a detailed report on various aspects such as inventory, pricing, footfalls rate, shelf-moving rate, etc. Based on the relevant data, retail AI experts also predict the future demand for a particular product to sustain business growth and increase ROI.
Healthcare analytics is responsible for analyzing, examining, and evaluating a healthcare business's past, present, and future performance. They manage large yet varied data sets to optimize the performance of a healthcare entity and improve its operational and service efficiency after analyzing a wide range of healthcare data to evaluate a medical facility's strengths and weak points and communicate their findings to the management. They create extensive reports backed by accurate numbers and statistics to strengthen their argument. Based on their analytical reports, management formulates a new strategic plan.
The responsibility of business analytics is to examine the various aspects of an organization by analyzing data and providing management with appropriate recommendations to improve a company's performance. They communicate their recommendations through numbers and give organizations reliable statistics to make their findings more compelling. Data ML experts play a vital role in improving an organization's internal decision-making process while improving its customer interaction and engagement. They analyze various data models with the help of premium tools and derive logical conclusions about the company's performance.
Analytics consultants provide consulting services to organizations on artificial intelligence, machine learning, and related areas. They may work in consulting firms or as independent consultants. And they have expertise in areas including data management, data analysis, artificial intelligence, predictive modeling, and data visualization. They advise organizations in developing data-driven strategies and action plans. In addition, they also help organizations select and implement appropriate AI & ML tools and technologies and advise on best practices for data-driven decision-making. In general, the consultants can play a valuable role in helping organizations to unlock the full potential of their data.
Pharmaceutical analytics use artificial intelligence, machine learning, and related technologies to drive predictive insights and decision-making within the pharmaceutical industry. They are responsible for analyzing the trial data of a particular drug or medicine. They also predict sales and performance of a pharmaceutical company by analyzing different data sources. They also analyze real-world data to gain insights into drug effectiveness and patient outcomes. Pharmaceutical AI experts are responsible for developing predictive models to forecast demand, optimize inventory management, and improve distribution efficiency. They analyze social media data to monitor patient sentiment and identify potential issues with drugs or treatment protocols. It is a rapidly evolving field, and the use of data and AI tools is becoming increasingly important in all aspects of the industry.
Fintech analytics is becoming increasingly important in the industry, and fintech companies leverage data of their markets, customers, and products. The Fintech data intelligence experts use cutting-edge AI & ML tools to perform risk analysis to assess the creditworthiness of potential borrowers. Additionally, They conduct sentiment analysis on social media to monitor customer feedback and behavior to identify potential issues of a product or service. They also analyze user preferences to optimize the app user experience to drive better engagement. Using predictive modeling tools, fintech companies can make more informed decisions about product development, marketing, and sales to improve operations, reduce costs, and mitigate risks.
Hospitality analytics professionals leverage data to improve the hospitality industry's operations, marketing, and customer experience. They use various techniques and tools to analyze data and provide actionable insights to drive decision-making and ultimately improve the profitability and success of hospitality businesses. They collect, examine, and interpret data related to the hospitality industry. It includes analyzing sales data, customer feedback, and operational data to identify trends, patterns, and opportunities for improvement. A hospitality data analyst creates reports and visualizations to communicate these insights to stakeholders. They are also responsible for optimizing the pricing and inventory of hotel rooms, restaurant tables, and other hospitality services.
Production analytics help to streamline the manufacturing flow of an organization to achieve economies of scale and production efficiency. They work to design scheduling and staffing models that provide the best optimization of labor costs, production volume, and efficiency. In addition, they analyze a range of data and develop a plan, based on the data sets, to perform workforce planning and equipment placement to ensure maximum production output. They also monitor the raw materials usage, WIP, and the finished goods status and collect data to optimize the performance of each production unit. Finally, they also have to carry out surveys from time to time to collect valuable data and statistics.
Financial analysts help businesses seeking to improve their financial performance and gain a better understanding of their financial status. They use AI, ML, and other predictive modeling tools to provide in-depth insights into various aspects of their financial operations, including cash flow, profitability, and asset management. Financial analytics can also help businesses to improve their profitability. By analyzing financial data, businesses can identify areas of their operations that are not performing as well as they could be. It may include identifying inefficiencies in production processes or marketing efforts or identifying opportunities to reduce costs.Businesses can improve their profitability and overall financial performance by improving in these areas.
As a premium data analyst recruiters, we offer industry-specific recruiting to help clients find the right fit for their technical needs.
EliteRecruitments’s analytics talent sourcing helps companies promote their brands as attractive employers to analytical talents.
Our clients receive comprehensive search services from us, and we assist them in identifying ideal employees who will maintain a lasting relationship with their company.
At EliteRecruitments, recruitment consultants boast a strong track record of providing exceptional executive search and research services within analytics for diversified industries.
As a Data Analyst Recruiters expert, we are trailblazers in analytics recruitment, providing unparalleled services to the top industries in India. It has experience in hiring insurance analysts, risk analysts, marketing analysts, and HR analysts. We have made a dedicated effort to learn and understand their basics, which has helped us effectively recruit top candidates and excel at our job as seasoned recruiters. With a deep understanding of the job market and a strong network across India’s metropolitan areas, we are dedicated to bridging the gap between talented individuals and the right job opportunities. So, if you’re looking to hire elite talents or seeking a new career challenge, don’t hesitate to reach out to the data analyst recruiters experts at EliteRecruitments.
Our database comprises some of the most talented data professionals ready to be hired anytime.
In EliteRecruitments, we maintain a strict technical screening process to hire the best from the rest.
We Offer flexible recruitment models to our clients, such as contingency recruitment and retained recruitment
Beware of scammers and fake accounts pretending to be EliteRecruitments, falsely promising jobs, and requesting payment. Please note: We never charge any fees from applicants, our recruiters use only official email addresses, and our LinkedIn job posts don’t redirect to third-party websites. Report suspicious activity to info@eliterecruitments.com. Our priority is safeguarding candidates through a secure recruitment process. Stay vigilant.
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Hiring for P&C Actuarial Analytics role for experienced professionals with expertise in pricing, Akur8 solutions, data analysis, and US general insurance. Strong communication and problem-solving skills required.
We are hiring an Actuarial Professional – Sri Lanka to lead high-impact projects in appraisal valuation, IFRS 17 implementation, product development, and actuarial model design. The ideal candidate will have expertise in statutory reporting, risk management, and capital calculations, with proficiency in actuarial software like Prophet, RAFM, MG ALFA, or GGY AXIS. If you are passionate about client engagement, mentorship, and thought leadership, apply today!
Role Highlights : In this role, you’ll have the opportunity to:
Technical Skills:
We are looking for a skilled Actuarial/Business Analyst – Reinsurance Pricing to join our team! In this role, you will analyze risk factors, develop pricing models, and support reinsurance strategies with data-driven insights. The ideal candidate has a strong actuarial or analytical background, proficiency in statistical modeling, and experience in the reinsurance domain.
Key Requirements:
* Actuarial papers from IAI, IFOA, or CAS preferred.
* 4-12 years of relevant experience as an Actuarial/Business Analyst, Product Owner/Manager, or similar role in software development or the technology industry.
* Strong background in P&C insurance and financial risk exposure rating.
* Proven expertise in Agile methodologies (Scrum, Kanban) and experience working in Agile environments.
Responsibilities:
* Collaborate with technical teams to design, refine, and validate reinsurance pricing models, including exposure rating, treaty pricing, and risk evaluation.
* Work closely with actuarial teams to integrate loss cost models, trends, and risk parameters into reinsurance pricing tools.
* Utilize reinsurance pricing models to identify underperforming layers/treaties and recommend improvement strategies.
* Analyze large datasets to extract insights that drive process enhancements, reinsurance pricing optimization, and portfolio management.
* Oversee the solution development lifecycle, including documentation, testing, and user training.
We are seeking a skilled Data Engineer to join our team.The successful candidate will be responsible for development and optimization of data pipelines, implementing robust data checks, and ensuring the accuracy and integrity of data flows. This role is critical in supporting data driven decision-making processes, especially in the context of our insurance-focused business operation.
Key Requirements:
* 7-12 years of experience in Data Engineering, working with Databricks & Cloud technologies.
* Strong proficiency in PySpark, Python, and SQL.
* Extensive experience in data modeling, ETL/ELT pipeline development, and automation.
* Hands-on experience with performance tuning of data pipelines and workflows.
* Proficient in Azure cloud components (Azure Data Factory, Azure Data Bricks, Azure Data Lake).
* Expertise in Delta Lake, data warehousing, ETL processes, and data modeling.
* Experience with Delta Live Tables, Autoloader & Unity Catalog.
* Strong analytical skills with the ability to collect, organize, analyze, and interpret data accurately.
Responsibility-
1.Collaborate with data analysts, reporting team and business advisors to gather requirements and define data models that effectively support business requirements.
2.Develop and maintain scalable and efficient data pipeline to ensure seamless data flow across various systems address any issue or bottleneck in existing pipelines.
3.Implement robust data checks to ensure the accuracy and integrity of data. Summarize and validate large database to ensure they meet quality standards.
4.Monitor data jobs for successful completion. Troubleshoot and resolve any issue that arise to minimize downtime and ensure continuity of data processes.
5.Regularly review and audit data processes and pipelines to ensure compliance with internal standards and regulatory requiremnets.
6.Familiar with working on Agile methodologies-scrum, sprint planning, backlog refinement etc
We are looking for a Design Director/ creative director.
It’s a leadership role- one has to handle a team of designers, project managers, work closely with US based brands, creative team. This position is based out of Mumbai.
We are looking for an experienced professional for our administrative department. 8-12 years of hands-on experience required in office management, vendor coordination, staff travel arrangements, facilities upkeep and all other administrative activities ensuring smooth day-to-day operations. This position is based out of Gurugram.
We’re looking for an RSA Archer professional to manage and optimize risk management processes. Experience with implementation, configuration, and customization of RSA Archer required.
• Working knowledge of Governance, Risk & Compliance (GRC) domain, Archer platform and open
to learn ServiceNow platform
• Hands on experience in system administration and configuration activities in Archer.
• Understanding and working experience of Core and Custom GRC solutions in Archer.
• Archer certificated (preferred).
• Archer resource with JavaScript, HTML, CSS, XML and REST/SOAP Web Services (preferred).
• Interact with client business & technology stakeholders to define, analyze and deliver
requirements.
• Develop functional , design and other applicable artefacts/documentation
• Configure/Customize solution, perform unit & integrated testing, UAT support, promote code
level changes to higher environment.
• Support production issues and conduct end user trainings
• Work along with team on POC and Demo
We’re hiring a Microsoft Dynamics CRM specialist to configure, implement, and support CRM solutions. Strong knowledge of Dynamics CRM functionalities and customization skills required.
Solution Design and Development: Design and develop solutions using Microsoft Dynamics CRM to meet business requirements.
Customization and Configuration: Customize and configure Dynamics CRM components, including entities, forms, workflows, and plugins.
Integration: Integrate Dynamics CRM with other systems and applications using various integration tools and techniques.
Technical Support: Provide technical support and troubleshooting for Dynamics CRM implementations.
Documentation: Create and maintain technical documentation, including design specifications, test plans, and user guides.
Collaboration: Work closely with functional consultants, business analysts, and other stakeholders to ensure successful project delivery.
Technical Expertise: Strong knowledge of Microsoft Dynamics CRM, including customization, configuration, and development.
Programming Languages: Proficiency in C#, .NET, JavaScript, and other relevant programming languages.
Integration Tools: Experience with integration tools such as SSIS, Scribe, or KingswaySoft.
Database Management: Knowledge of SQL Server and database management.
Problem-Solving: Strong analytical and problem-solving skills.
Communication: Excellent communication and interpersonal skills.
Preferred Qualifications:
Certifications: Microsoft Dynamics CRM certifications are a plus.
Experience: Prior experience working in a consulting environment is preferred.
Project Management: Familiarity with project management methodologies and tools.
This role offers an opportunity to work on diverse projects, collaborate with a talented team, and contribute to the success of clients by leveraging your technical expertise in Microsoft Dynamics CRM. If you have any specific questions or need more details, feel free to ask!
Hiring Dotnet developers who can builds and maintains software applications using the .NET framework. Responsibilities include coding, testing, debugging, and integrating solutions, ensuring high performance and scalability in development environments.
Full Stack Developer required to work on both the back end and front-end of applications as well as develop fully fledged platforms (with databases, micro services, servers).
The individual in this position is accountable for producing scalable software solutions. Be part of a cross-functional team that’s responsible for the full software development life cycle, from conception to deployment.
We are seeking a highly skilled Senior Google BigQuery Data Engineer to lead the design, development, and optimization of our data platform. The ideal candidate will have a deep understanding of BigQuery’s architecture, capabilities, and best practices, including columnar storage, nested and repeated fields, and separation of compute and storage.
tuning, and data modeling techniques.
considering normalization, denormalization, and data partitioning strategies.
loading, streaming ingestion, and external tables.
Looker) and their integration with BigQuery.
machine learning or data science.
We are seeking highly skilled GCP data architects for Pune/Hyderabad location. Experience in GCP data services, cloud architecture, and data migration. Strong background in designing, optimizing, and migrating to Cloud SQL, with expertise in data modeling, integration, and performance tuning.
12+ years of experience in GCP data services, cloud architecture, and data migration. Strong background in designing, optimizing, and migrating to Cloud SQL, with expertise in data modeling, integration, and performance tuning.
We are seeking a highly skilled SAP FICO Implementation Consultant to join our team in Gurgaon and Noida. The ideal candidate will have extensive experience in SAP Financial Accounting (FI) and Controlling (CO) modules, with a strong background in end-to-end implementation projects.
We are hiring IT Auditors for few consulting firms based out of Bangalore, Mumbai, Delhi NCR. They are looking for someone having experience into ITGC and ITAC along with SOC OR SOX Reporting. Any certifications such as DISA, CISA will be preferred.
We are looking for a Statutory Audit Manager with strong experience in conducting audits, ensuring compliance with accounting standards, and preparing financial statements. The ideal candidate will be CA qualified, with excellent technical knowledge and leadership skills. Ability to manage teams and client relationships is essential.
We are looking for a Tax Manager with expertise in direct tax, specifically within the private equity sector. The ideal candidate will be CA qualified, with experience in tax compliance, planning, and reporting for investment funds. Strong knowledge of tax regulations and structuring is essential. Competitive salary and growth opportunities offered.
Chartered Accountant (CA) with 5-8 years of experience in Corporate and International Tax, strong analytical skills, and expertise in the Income Tax Act, ICDS, and Ind-AS adjustments. Proven track record in tax representation before authorities and ability to lead teams in a fast-paced, professional services environment.
Looking for Internal Auditors for a Big4 consulting firm based out of Bangalore location. We are looking for professional auditor having experience into SOX 404 Audits, Risk & Control Matrices (RCM), conducting test of design and test of operating effectiveness of controls.
We are seeking an experienced Oracle Financials Consultant to join our team. In this role, you will implement, optimize, and support Oracle Financials solutions, focusing on financial reporting, accounting, and business process improvements. The ideal candidate will have a strong background in Oracle Financials modules, a deep understanding of financial operations, and the ability to drive system enhancements.
We are hiring for a Market Risk Quant role with one of the Big 4 consulting firms. We are looking for professionals with expertise in Market Risk, FRTB, Model Development, Model Validation, and Pricing. In this role, you will work on developing and validating risk models, ensuring compliance with regulatory standards, and providing insights on pricing and risk management strategies.
We are seeking a highly skilled Senior Google BigQuery Data Engineer to lead the design, development, and optimization of our data platform. The ideal candidate will have a deep understanding of BigQuery’s architecture, capabilities, and best practices, including columnar storage, nested and repeated fields, and separation of compute and storage.
We are seeking a skilled Workday Finance Consultant to join our team. In this role, you will be responsible for implementing and optimizing Workday Financials, assisting with financial reporting, budgeting, forecasting, and ensuring seamless integration with other business processes. The ideal candidate will have experience with Workday Finance, strong analytical skills, and the ability to collaborate with cross-functional teams.