7 Advance Analytics Jobs

As an Entry and mid-Junior level Finance Administration professional, you will be responsible for creating use cases on Advanced analytics in collaboration with Controllers and Delivery teams. Your role will involve utilizing data primarily from HR, Delivery, and Finance systems to develop actionable insights through Data visualization to support key decision-making related to business problems. Additionally, you will be required to socialize and industrialize the analytics and visualization outputs across various Strategic Business Units (SBUs), Accelerated Business Lines (ABL), and Global Business Lines (GBL) to drive effective business actions. To excel in this role, you must demonstrate strong teamwork skills and the ability to cultivate positive relationships with stakeholders. You should be proactive in taking initiatives while also being open to regular supervision. Knowing when to seek guidance or escalate issues is crucial in this position. Your main tasks will involve supporting experienced Finance specialists in progress reporting, task management, and documentation to ensure the successful delivery of projects. If you are looking to kickstart your career in Finance Administration and have a passion for leveraging analytics and visualization to drive business decisions, this role offers a great opportunity for you to grow and contribute to impactful projects.,

The ideal candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. The role enables to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, candidate must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Associate Process Manager Role and responsibilities: Understand business problem and requirements by building domain knowledge and translate to data science problem. Conceptualize and design cutting edge data science solution to solve the data science problem, apply design-thinking concepts. Identify the right algorithms, tech stack, sample outputs required to efficiently adder the end need. Prototype and experiment the solution to successfully demonstrate the value. Independently or with support from team, execute the conceptualized solution as per plan by following project management guidelines. Present the results to internal and client stakeholder in an easy to understand manner with great story telling, story boarding, insights and visualization. Help build overall data science capability for eClerx through support in pilots, pre sales pitches, product development, and practice development initiatives. Technical and Functional Skills: Bachelors degree in Computer Science with 4 to 6 years of work experience. Must have experience in Advance Analytics, Data Science, regression, forecasting, analytics, SQL, R, Python, decision tree, random forest, SAS, clustering classification. Ability to engage clients to understand business requirements and convert the same into technical/modelling problems for solution development. Demonstrate strong interpersonal skills and a comfort interacting with clients from the C-suite to marketing managers to technical specialists. Demonstrated knowledge of analytical/statistical techniques and their applications; a working knowledge of/experience in R and Python is a plus. Demonstrated excellent communications skills, both written and spoken, as well as being able to explain complex technical concepts in plain English. Ability to present results of statistical models in business language. Domain understanding of at least one preferably two verticals amongst Retail, Cable, Technology (not mandate). Knowledge of data visualization tools (Tableau, QlikView, etc.) is a plus. Demonstrate strong analytical and storytelling skills and the ability to find relevant stories from piles of reports. Ability to manage specific tasks to completion with minimal direction. Ideal candidate has been in a consulting role previously. Hands-on expertise on the applied statistical techniques including multi-variate regression, logistic regression, market-mix models, clustering, classification, survival, churn models, speech analytics, image analytics, etc. Ability to collaborate with onsite colleagues in the US & UK. Expert in handling large data, cleansing & preparation for modelling. Very high attention to detail and quality.

As a Senior Manager in Digital Data Analytics & BI with 8-10 years of experience, your primary responsibility will be to work on project management for end-to-end client onboarding on the reporting platform. You will lead and guide the team to ensure timely delivery of reports, provide end-user support, and manage change management for all campaigns across a set of clients. It will be essential to maintain the quality of reports by ensuring data accuracy, adhering to standard formats, naming conventions, and repository maintenance. Additionally, you will be responsible for tracking and ensuring overall governance, dynamic bandwidth allocation, and load balancing within the team. Developing and maintaining relationships with AS Media Ops team, internal stakeholders, and regional BI leads will be crucial for this role. You will need to focus on effectively utilizing tools and automation, as well as creating fast-track training programs for the team. Continuous improvement and implementing best practices will be key objectives to drive success in this position. Key skills required for this role include a Master's degree in STEM, Data Science, or Statistics, along with 8+ years of experience in Data Management, Advanced Analytics, Data Visualization, and Automation. You should be process-driven, an excellent collaborator with strong communication skills, and have a good understanding of the digital marketing landscape. Hands-on experience with tools like DV360, SA360, DCM, Meta, TTD, GA4, GCP (BigQuery, DataProc, GCS), AWS (Redshift, Athena, S3), SQL, Python, and data architecture best practices is essential. Being self-motivated, proactive in issue resolution, and challenging the status quo when necessary are qualities that will contribute to your success in this role. At Assembly, we prioritize equal opportunities, social responsibility, and environmental sustainability. As an employee, you are encouraged to actively participate in sustainability efforts, promote environmentally friendly practices in the workplace, collaborate with community organizations, and engage in volunteer activities that benefit society. Your commitment to sustainability and inclusivity in your actions and behaviors will help us drive positive social and environmental impact in our daily operations.,

The ideal candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. The role enables to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, candidate must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Associate Process Manager Role and responsibilities: Understand business problem and requirements by building domain knowledge and translate to data science problem. Conceptualize and design cutting edge data science solution to solve the data science problem, apply design-thinking concepts. Identify the right algorithms, tech stack, sample outputs required to efficiently adder the end need. Prototype and experiment the solution to successfully demonstrate the value. Independently or with support from team, execute the conceptualized solution as per plan by following project management guidelines. Present the results to internal and client stakeholder in an easy to understand manner with great story telling, story boarding, insights and visualization. Help build overall data science capability for eClerx through support in pilots, pre sales pitches, product development, and practice development initiatives. Technical and Functional Skills: Bachelors degree in Computer Science with 4 to 6 years of work experience. Must have experience in Advance Analytics, Data Science, regression, forecasting, analytics, SQL, R, Python, decision tree, random forest, SAS, clustering classification. Ability to engage clients to understand business requirements and convert the same into technical/modelling problems for solution development. Demonstrate strong interpersonal skills and a comfort interacting with clients from the C-suite to marketing managers to technical specialists. Demonstrated knowledge of analytical/statistical techniques and their applications; a working knowledge of/experience in R and Python is a plus. Demonstrated excellent communications skills, both written and spoken, as well as being able to explain complex technical concepts in plain English. Ability to present results of statistical models in business language. Domain understanding of at least one preferably two verticals amongst Retail, Cable, Technology (not mandate). Knowledge of data visualization tools (Tableau, QlikView, etc.) is a plus. Demonstrate strong analytical and storytelling skills and the ability to find relevant stories from piles of reports. Ability to manage specific tasks to completion with minimal direction. Ideal candidate has been in a consulting role previously. Hands-on expertise on the applied statistical techniques including multi-variate regression, logistic regression, market-mix models, clustering, classification, survival, churn models, speech analytics, image analytics, etc. Ability to collaborate with onsite colleagues in the US & UK. Expert in handling large data, cleansing & preparation for modelling. Very high attention to detail and quality.

About Company: Bajaj Electricals Limited is a globally renowned Indian Consumer Appliances and Lighting Solutions company (its Power Transmission and Distribution projects business has been demerged to form Bajel Projects Limited). Headquartered in Mumbai with a turnover of INR 4,662 crores (FY 2023 - 2024), it is a part of the $100 bn multinational conglomerate Bajaj Group founded by Shri Jamnalal Bajaj. The Company was established in 1938 and has stood the test for almost 85 years. It continues to enjoy consumer trust across various sectors it operates in and remains at the forefront of developing modern, technologically superior, and aesthetic products and solutions. Bajaj Electricals business portfolio spans Consumer Products (Appliances, Fans, Cookware) and Lighting Solutions (Consumer and Professional Lighting). They are a front runner in the industry with their key brand offerings comprising BAJAJ, Nirlep, Morphy Richards and Nex. They have an expansive network of 18 branch offices, 660+ distributors, and ~ 2 lakh retail outlets across India, combined with over 620 consumer care centres reaching 19,000 pin codes, fortifying their dominant presence in the consumer products sector. Under their Lighting Solutions business, they offer a wide range of innovative LED lamps and fixtures, including panels and battens, to consumers and are known for their prowess in street lighting, sports lighting, industrial commercial and infrastructural lighting, and undertaking specialised illumination projects on a turnkey basis amongst other solutions. The Company believes in creating happiness with sustainability by focusing on the four key CSR pillars - Sustainability, Diversity & Inclusion, Employee Volunteering & Community Initiatives. Through their CSR initiatives, they enable sustained impact in environmental sustainability, education, health, arts & culture and community development achieved by direct implementation and via NGO partners. Website: http://www.bajajelectricals.com Industry: Appliances, Electrical, and Electronics Manufacturing Address: 27th Floor, One Unity Center, Senapati Bapat Marg, Prabhadevi/ Parel (West), Mumbai-400013 Position: Lead - Analytics Working Days: Monday to Friday Headquarters: Mumbai, Maharashtra Founded: 1938 JOB ROLE: Lead - Advance Analytics REPORTING TO: Chief Information Officer TYPE OF ROLE: Team Lead JOB PURPOSE The Analytics Manager will work closely with leaders across product, sales, supply-chain and marketing to support and implement high-quality, data-driven decisions. He/She will ensure data accuracy and consistent reporting by designing and creating optimal processes and procedures for analytics employees to follow. He/She will use advanced data modeling, predictive modeling and analytical techniques to interpret key findings from company data and leverage these insights into initiatives that will support business outcomes. The right person for the job will apply their exhaustive knowledge of data analysis to solving real-world problems faced by our company and finding opportunities for improvement across multiple projects, teams and business units. KEY RESPONSIBILITIES - Develop and implement a comprehensive analytics strategy to support the organization's business objectives. - Lead cross-functional projects using advanced data modeling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities. - Build, develop and maintain data models, reporting systems, data automation systems, dashboards and performance metrics support that support key business decisions. - Driving key business impacting processes like demand forecast generation and SNOP processes. - Generating sales recommendation for trade sales team. - Optimizing business process like network, inventory, etc., with data modeling and predicting / prescribing algorithms. - Oversee the design and delivery of reports and insights that analyze business functions and key operations and performance metrics. - Manage and optimize processes for data intake, validation, mining and engineering as well as modeling, visualization and communication deliverables. - Anticipate future demands of initiatives related to people, technology, budget and business within your department and design/implement solutions to meet these needs. - Apply advanced analytics techniques to improve commercial routines and processes. - Organize and drive successful completion of data insight initiatives through effective management of analyst and data employees and effective collaboration with stakeholders. - Communicate results and business impacts of insight initiatives to stakeholders within and outside of the company. - Ability to look, analyse, critically think, and communicate insights to support data-driven decisions EDUCATIONAL QUALIFICATIONS: B.E/ BTech / M.Tech (Computer Science, Statistics, Data Management, Business Intelligence) or MBA/ PGDM (Data Science/Business Analytics/Business Intelligence/Sales/Marketing) WORK EXPERIENCE With 7+ years of experience in a position monitoring, managing, manipulating and drawing insights from data, and someone with at least 3 years of experience leading a team Experience with data visualization tools: Power BI, Tableau, Raw, chart.js, etc INTERNAL / EXTERNAL INTERFACE Internal working with Supply Chain, Sales and Finance Teams. External working with Analytics vendors

JOB DESCRIPTION Job Purpose This position is open with Bajaj Finance ltd. Duties and Responsibilities This role is for NLP and data-oriented product development (horizontal capability builds) but it will also require strong program management and execution skills. Technical Interactions with vendor or partners in technical capacity for business/capability deliverables. Develops proof of concept to prove or disprove validity of concept. Work with cross functional team to integrate these models into larger solutions. Works collaboratively in a multi-disciplinary team environment; Establishes and maintains professional networks with subject matter experts. Responsible for artificial intelligence / machine learning technology and application analysis, understand latest industrial and academic developments in AI/ML. Design competitive AI/ML services and user experience for next generation products and create prototypes for demonstration. Strong empowerment and self-drive is a must. Required Qualifications and Experience 1. PhD/MTech/BE/ BTech/MSc in CS or Math, Operation research, Statistics, Econometrics or in any quantitative field 2. 6+ years of industrial experience in analytics, predictive modeling, Machine learning, NLP, predictive analytics solution development and deployment 3. Strong Problem-solving ability 4. Should have strong experience in anyone or more programming languages Python or JAVA. Experience in RESTful, Web Services. 5. Experience in using Python, R, SAS or any other statistical software (plus other open source libraries) 6. skills with Shell/Perl (or similar scripting language), Scala and Java 7. Experience with development tools like Eclipse, Git, Gradle, Jenkins, Jira, JFrog Artifactory etc. 8. Experience with web application server like Tomcat, Jetty, JBoss etc. 9. Strong understanding of OOP design patterns and industry best practices. 10. Fair knowledge of scripting and working in Linux environment 11. Good to have Experience of building Solutions with latest front-end technologies (JavaScript libraries like React or Angular, CSS3, HTML5). 12. Hands-on experience of API Integration single-sign -on and token-based authentication. Experience integrating with SQL and NoSQL databases (Cosmos DB, Cassandra, MongoDB) 13. Good understanding of DevOps pipeline like Azure Devops. Experience in Agile environment 14. Experience in any of the following area could be plus: Lucene based search engines (Elasticsearch, Solr) 15. Experience Container Orchestration technologies (Kubernetes), distributed systems, scalable data analytics technologies (Spark) 16. Experience in mentoring junior team members, and guiding them on machine learning, NLP, Computer Vision, Speech analytics and data modeling applications 17. Strong communication and data presentation skills 18. Skills with Relational Databases, Data warehouses, Structured & Unstructured data forms. 19. Publications /patents/presentation in recognized Machine Learning and Data Mining journals/conferences is preferred 20. Solid knowledge in deep learning algorithms and AI system design and architecture. 21. Strong hands-on nature (ability to self-code is a must). 22. Strong capability to work on server class (cloud machines) for data science capability builds 23. Strong IT & Business interactions capability 24. Strong team player with exceptional program management. Skills SKILL Skills as per JD Minimum Qualification Others

Senior Lead - Advance Analytics, Artificial Intelligence, Artificial Intelligence Job Purpose This position is open with Bajaj Finance ltd. Duties and Responsibilities This role is for NLP and data-oriented product development (horizontal capability builds) but it will also require strong program management and execution s. Technical Interactions with vendor or partners in technical capacity for business/capability deliverables. Develops proof of concept to prove or disprove validity of concept. Work with cross functional team to integrate these models into larger solutions. Works collaboratively in a multi-disciplinary team environment; Establishes and maintains professional networks with subject matter experts. Responsible for artificial intelligence / machine learning technology and application analysis, understand latest industrial and academic developments in AI/ML. Design competitive AI/ML services and user experience for next generation products and create prototypes for demonstration. Strong empowerment and self-drive is a must. Required Qualifications and Experience 1. PhD/MTech/BE/ BTech/MSc in CS or Math, Operation research, Statistics, Econometrics or in any quantitative field 2. 6+ years of industrial experience in analytics, predictive modeling, Machine learning, NLP, predictive analytics solution development and deployment 3. Strong Problem-solving ability 4. Should have strong experience in anyone or more programming languages Python or JAVA. Experience in RESTful, Web Services. 5. Experience in using Python, R, SAS or any other statistical software (plus other open source libraries) 6. s with Shell/Perl (or similar scripting language), Scala and Java 7. Experience with development tools like Eclipse, Git, Gradle, Jenkins, Jira, JFrog Artifactory etc. 8. Experience with web application server like Tomcat, Jetty, JBoss etc. 9. Strong understanding of OOP design patterns and industry best practices. 10. Fair knowledge of scripting and working in Linux environment 11. Good to have Experience of building Solutions with latest front-end technologies (JavaScript libraries like React or Angular, CSS3, HTML5). 12. Hands-on experience of API Integration single-sign -on and token-based authentication. Experience integrating with SQL and NoSQL databases (Cosmos DB, Cassandra, MongoDB) 13. Good understanding of DevOps pipeline like Azure Devops. Experience in Agile environment 14. Experience in any of the following area could be plus: Lucene based search engines (Elasticsearch, Solr) 15. Experience Container Orchestration technologies (Kubernetes), distributed systems, scalable data analytics technologies (Spark) 16. Experience in mentoring junior team members, and guiding them on machine learning, NLP, Computer Vision, Speech analytics and data modeling applications 17. Strong communication and data presentation s 18. s with Relational Databases, Data warehouses, Structured Unstructured data forms. 19. Publications /patents/presentation in recognized Machine Learning and Data Mining journals/conferences is preferred 20. Solid knowledge in deep learning algorithms and AI system design and architecture. 21. Strong hands-on nature (ability to self-code is a must). 22. Strong capability to work on server class (cloud machines) for data science capability builds 23. Strong IT Business interactions capability 24. Strong team player with exceptional program management. s s as per JD Minimum Qualification Others