5249 Data Visualization Jobs - Page 2

The VP Remediation Planning & Insights Leader at Synchrony is a crucial role responsible for driving advanced remediation reporting and analytics while optimizing the organization's capacity planning and forecasting capabilities. This position involves leading the development, delivery, and automation of remediation reporting, utilizing data to identify key insights, patterns, and trends essential for process performance, risk indicators, compliance, and governance. Additionally, the VP oversees resource planning, capacity modeling, and SLA breach forecasting to ensure optimal remediation workflow and delivery. Collaboration with issue management and executive stakeholders is key to promoting a culture of data-driven decision-making and continuous improvement. Key responsibilities of the VP Remediation Planning & Insights Leader include: - Leading the development and delivery of comprehensive remediation performance and compliance reporting for internal and regulatory stakeholders. - Overseeing the design, automation, and ongoing enhancement of analytics dashboards tracking key process, risk, and performance indicators. - Analyzing remediation and issue management data to identify trends, anomalies, and root causes for process or SLA breaches. - Directing resource and capacity planning for remediation teams based on evolving issue pipelines and business needs. - Forecasting potential breaches of established SLAs by monitoring remediation progress and providing proactive notification and escalation. - Ensuring all reporting, analytics, and capacity management tools align with organizational governance and compliance requirements. - Designing controls to ensure transparency, accuracy, and effectiveness in the remediation process, including monitoring tools for workflow validation. - Collaborating with cross-functional teams to standardize reporting practices, support data-driven decision making, and share analytical insights. - Leading process improvement initiatives related to reporting and control, automation, and data integration to enhance efficiency and accuracy. - Preparing and presenting actionable insights, reports, and presentations for senior leadership and regulatory bodies. The ideal candidate for this role should possess a Bachelor's degree in Business, Operations, Data Analytics, or related field (advanced degree preferred) with at least 7 years of relevant experience in reporting/analytics, remediation management, or capacity planning. Alternatively, a High School Diploma/GED with 9+ years of experience in the mentioned areas is also acceptable. Additional requirements include 3+ years of experience in analyzing data sets for strategic insights, advanced skills in analytics, data visualization, and leadership experience with strong communication skills. Desired characteristics for the VP Remediation Planning & Insights Leader role include advanced technical and analytical competencies, strong communication and presentation skills, the ability to interact with and present to senior leaders, and ideally a Master's Degree or MBA with an advanced analytic focus. Eligibility criteria for the role include the educational qualifications and relevant experience mentioned above. The working hours for this position are from 8:30 AM to 5:00 PM EST (6 PM to 2:30 AM IST). Internal applicants are advised to understand the mandatory skills required for the role, inform their manager and HRM before applying, ensure their professional profile is updated, and not be under any corrective action plan. Employees meeting specific criteria are eligible to apply for this Grade/Level 13 position in the Information Technology job family group at Synchrony.,

The Senior Data Analyst plays a crucial role in facilitating data-informed decision-making within the organization. Your responsibilities will involve converting raw data into insightful analyses that influence key business strategies. You will manage large datasets, develop robust data models, and provide actionable insights to address critical business questions. Collaboration with cross-functional teams is essential to ensure data initiatives align with business goals. This role requires a high level of technical expertise, analytical accuracy, and business acumen. Your contribution as a Senior Data Analyst will be instrumental in improving the organization's data infrastructure and advocating for an evidence-based approach to strategic planning and performance enhancement. You will be responsible for: - Developing and implementing advanced data analytics strategies to support business objectives. - Gathering, preprocessing, and analyzing complex datasets from various sources. - Creating and maintaining data models, dashboards, and reports using visualization tools. - Ensuring data quality through rigorous integrity and accuracy checks. - Collaborating with IT and other departments to optimize data workflows and processes. - Utilizing statistical software and methodologies for predictive and prescriptive analytics. - Identifying trends, insights, and patterns to drive strategic decisions. - Designing A/B tests to validate hypotheses and optimize strategies. - Mentoring junior data analysts and team members. - Presenting complex analyses and insights to senior leadership. - Promoting a data-driven culture and best practices in data analytics. - Exploring new data science methodologies and technologies for potential application. Requirements: - Bachelor's degree in Computer Science, Statistics, Data Science, or a related field. - Minimum five years of experience in data analysis or data science roles. - Proficiency in data visualization tools like Tableau, Power BI, or similar. - Strong SQL skills and experience with large-scale relational databases. - Familiarity with statistical analysis tools such as R, Python, or SAS. - Strong problem-solving skills and attention to detail. - Effective communication skills to convey complex findings to non-technical stakeholders. - Track record of managing multiple tasks in a fast-paced environment. - Ability to work independently and collaboratively with diverse teams. The role is a mid-level position, requiring full-time commitment in Maharashtra, India. The company's website is https://www.talentmate.com. The job function is focused on Data Science & AI within the Recruitment & Staffing sector. At Talentmate, we offer a platform that brings professionals together for seamless job hunting and employer search experiences.,

The role is based in Aundh, Pune with an expectation to work from office 3 days in a week. Apply only if this arrangement suits you. About Us: We are building an analytics consultancy with a fresh approach by being AI-led, outcomes focussed and following a boutique approach. We are currently in the initial stages of establishing ourselves and you will be among our first hires. The company is backed by analytics veterans with 15 years of experience at some of the top global firms and hold stellar academic record at top global universities. What You'll Be Working On: At any given time you will be working with one or more on-shore counterparts to solve client problems through data-driven analysis. This is a hands-on role using AI for much for script-writing. You should apply if: - Have 5 to 10 years experience working with US or Europe clients/teams in Retail, CPG, or financial services - You can work independently with minimal supervision - You are a team player whom your colleagues can rely on - You're impact-driven and eager to have a real positive impact on the company and your colleagues - Strong proficiency in Python or R, and SQL. Experience building and maintaining data pipelines or data workflows - Solid understanding of statistical modeling, predictive analytics, and machine learning techniques - Experience using data visualization tools like Power BI, Tableau, Looker We would still love to hear from you if you don't meet all the above criteria. Using AI for the application process: We are looking to know you authentically. While using AI to refine and polish a narrative is acceptable, developing imaginary scenarios will not serve either of us. We ask you to refrain from doing this. The Interview Process: Our interview process involves three main stages: - 30 minute Initial Call - 90 minute Critical Reasoning Test - 120 minute Final Interview including a case study Your schedule is very important to us and we promise to be flexible. Our aim is to complete the process in 2 to 3 weeks.,

As a Data Analyst in C#/.NET and SQL at ISS STOXX in Mumbai (Goregaon East), you will have the opportunity to utilize your passion for technology to transform raw data into valuable insights and visually appealing visualizations. Your responsibilities will involve writing complex queries using Microsoft SQL Server and Python to extract and distill massive amounts of proprietary data for automation of analytical insights in client deliverables. Additionally, you will be involved in the creation of custom reports, content creation for the advisory team, and fulfilling ad-hoc requests from the sales team and media. Your primary responsibilities will include maintaining and supporting a suite of reports, developing new reports and tools, and generating tailored reports for specific clients or internal customers. You will also be tasked with extracting data from a vast collection of executive compensation, corporate governance, and sustainability datasets and using Python for data analysis and visualization. To excel in this role, you should possess a Bachelor's degree or an associate's degree with at least 3 years of relevant professional experience, including at least 1 year in a similar role. Proficiency in Microsoft SQL querying, C#.NET coding in Visual Studio, Python (particularly Numpy, Pandas, and Jupyter Notebook), and Microsoft PowerPoint is required. Experience with GitLab or similar source code management systems, as well as familiarity with relational database concepts, will be beneficial. Effective communication skills, an aptitude for data visualization, and the ability to work collaboratively in a team-oriented environment are essential qualities for this role. You should also demonstrate a commitment to continuous learning, attention to detail, and the ability to meet deadlines while working independently. At ISS STOXX, we value diversity, creativity, and innovation. By joining our team, you will have the opportunity to grow both professionally and personally in an environment that fosters collaboration and inspires success. If you are intellectually curious, dedicated to mastering complex concepts, and eager to contribute to a dynamic team, we invite you to be part of our journey to empower, collaborate, and inspire excellence at ISS STOXX. To learn more about ISS STOXX and our commitment to providing top-notch research and technology solutions for the financial market, visit our website: https://www.issgovernance.com. Explore additional career opportunities with us at: https://www.issgovernance.com/join-the-iss-team/,

As an Associate Manager Data Science within the Digital and Technology team, you will play a crucial role in modeling complex problems, uncovering insights, and streamlining workflows by utilizing statistical analysis, machine learning, generative AI, and data visualization techniques with cutting-edge big data & AI technologies. Your primary focus will involve collaborating with business partners to develop data science projects that drive advanced analytics and AI adoption to gain a competitive edge, enhance operational efficiency, and foster innovation. Your responsibilities will include executing end-to-end advanced data science projects aligned with business goals, mastering on-premise and cloud-based data warehousing and data lakes, staying abreast of the latest AI and ML technologies, constructing data pipelines for data ingestion, cleaning and imputing unclean data, conducting in-depth exploratory data analysis, engineering features relevant to data science problems, creating and assessing data models using various techniques, and presenting modeling results and recommendations to stakeholders in a clear and actionable manner. Moreover, you will collaborate closely with business stakeholders to identify challenges and opportunities, develop data-driven strategies, and implement solutions leveraging AI and machine learning technologies. It is essential to adhere to established standards, enhance documentation, share knowledge within teams, ensure data accuracy, consistency, and security, and effectively collaborate with team members. To qualify for this role, you should possess a Bachelor's or Master's degree in Computer Science, Engineering, Statistics, or Applied Mathematics, along with at least 4 years of experience in data science. You should have a strong background in machine learning, statistical analysis, and predictive modeling, with practical expertise in programming languages like Python, R, or Scala. Proficiency in big data technologies, cloud-based solutions, and experience in developing scalable machine learning models for production environments are crucial. Additionally, familiarity with data engineering tools, cloud services platforms, containerization, CI/CD tools, and excellent communication skills are required for this position. As an integral part of a fast-paced and collaborative environment, you should demonstrate strong analytical skills, problem-solving abilities, and have a growth mindset to drive innovation. Your leadership behaviors should emphasize building outstanding teams, setting clear directions, simplification, collaboration, execution, accountability, fostering growth, embracing inclusivity, and maintaining an external focus to excel in this role.,

As an experienced AI/ML scientist with over 7 years of hands-on experience in delivering enterprise-grade AI/ML solutions, your primary responsibility will be to collaborate with business, product, and engineering teams to define problem statements, assess feasibility, and develop AI/ML-driven solutions that provide tangible business value. You will be leading end-to-end AI/ML projects, from initial data exploration and model development to validation, deployment, and continuous monitoring in production environments. Your expertise in machine learning, NLP, Generative AI, and statistical modeling will be crucial in driving solution architecture and ensuring scalability, reproducibility, and sustainability of AI solutions by implementing best practices in model development, CI/CD, and performance tracking. Additionally, you will be mentoring junior and associate AI/ML scientists, conducting technical reviews, and guiding them in solution development. Your role will also involve identifying and advocating for the adoption of emerging tools, technologies, and methodologies across teams, as well as translating technical outputs into actionable insights for business stakeholders through effective storytelling, data visualizations, and stakeholder engagement. The ideal candidate for this position should possess a Bachelor's or Master's degree in computer science, engineering, statistics, or a related quantitative field (a PhD is considered a plus). You must have advanced proficiency in Python, SQL, PySpark, and experience working with cloud platforms, particularly Azure, along with tools such as Databricks, Synapse, ADF, and Web Apps. A strong background in text analytics, NLP, and Generative AI with practical deployment experience is essential, as well as a solid understanding of model evaluation, optimization, bias mitigation, and monitoring in production environments. Moreover, you should be a problem solver with scientific rigor, strong business acumen, and the ability to bridge the gap between data insights and strategic decision-making. Previous experience in leading cross-functional AI initiatives or collaborating with engineering teams to deploy ML pipelines will be beneficial. Knowledge of the shipping and logistics business domain is an advantage. If you require any accommodations or special assistance during the application and hiring process, please feel free to reach out to us at accommodationrequests@maersk.com.,

Join our Instrument Reference Data Product and Change team as a Business Analyst in the Corporate and Investment Banking group. Lead cross-functional platform modernization initiatives by collaborating with Operations, Business, and Technology teams. Your role will involve delivering strategic initiatives using emerging technology, influencing stakeholders, and supporting decision-making processes. As a Business Analyst in the Instrument Reference Data Product and Change team, you will focus on delivering strategic initiatives across asset classes such as Fixed Income, Money Market, and Equities. You will drive programs by leveraging emerging technology, ensuring operational readiness for regulatory changes, and coordinating with multiple consumer applications. Your responsibilities will include analyzing data, engaging with stakeholders for requirements gathering, and incorporating stakeholder requirements into the Operating Model redesign. Key Responsibilities: - Analyze data to explain differences to stakeholders. - Engage with Technology and Operations stakeholders for requirements gathering. - Incorporate stakeholder requirements into the Operating Model redesign. - Provide frequent updates for stakeholders. - Demonstrate proficiency in statistical analysis and advanced SQL skills. - Create intuitive dashboards using data visualization tools. - Support data-driven decision-making with business intelligence tools. - Apply critical thinking to evaluate complex problems. - Coordinate with multiple consumer applications for deliverables. - Drive efficiency agenda and new product launches. Required Qualifications: - Bachelor's degree with substantial enterprise-level change experience. - Strong business analysis experience in cross-LOB roles. - Proficiency in data analysis and Oracle SQL skills. - Proven track record of executing against set milestones. - Effective relationship management and stakeholder influence skills. - Understanding of instrument reference data and end-to-end flows. - Effective communication skills tailored for different audiences. Preferred Qualifications: - Experience in project management. - Familiarity with data visualization tools like Tableau and Power BI. - Expertise in business intelligence tools and platforms. - Strong critical thinking skills and problem-solving abilities. - Ability to adapt messages for various agendas. - Support operational readiness for regulatory changes.,

As a skilled Data Analyst specializing in Google BigQuery and Looker Studio, you will be a valuable addition to our analytics team. Your role will involve utilizing your technical and analytical expertise to convert data into actionable insights that facilitate data-driven decision-making throughout the organization. Your main responsibilities will include managing data within BigQuery, creating informative dashboards in Looker Studio, and collaborating with various teams to guarantee the accuracy and relevance of data. In the realm of Data Management & Transformation, you will be tasked with designing, developing, and maintaining efficient BigQuery data pipelines. This involves crafting intricate SQL queries to extract, transform, and analyze data from diverse sources, as well as ensuring data quality and integrity through validation checks and data structure optimization. For Data Visualization & Reporting, you will focus on constructing, enhancing, and sustaining interactive dashboards and reports in Looker Studio to communicate data-driven insights effectively. Collaboration with stakeholders is crucial to comprehend reporting requirements and translate them into impactful visualizations that align with organizational objectives. Your role will also involve Collaborative Analysis, where close cooperation with departments such as marketing, finance, and operations is necessary to grasp business needs and define data prerequisites. By providing insights and recommendations derived from data analysis, you will contribute to strategic business decision-making and conduct training sessions to educate end-users on utilizing Looker Studio dashboards efficiently. In terms of Data Governance & Optimization, you will uphold industry standards for data governance, privacy, and security while optimizing BigQuery performance, including cost management and query optimization strategies. Qualifications: - Education: Bachelor's degree in Computer Science, Data Science, Information Systems, Statistics, or a related field (or equivalent experience). Preferred Qualifications: - Knowledge of Google Cloud Platform (GCP) beyond BigQuery, including Cloud Storage, Cloud Functions, and Dataflow. - 4+ years of hands-on experience with Google BigQuery and Looker Studio (or Data Studio). - Technical Skills: Proficiency in SQL and adept at crafting complex queries in BigQuery. - Familiarity with ETL processes and data modeling. - Strong grasp of data visualization principles and experience in designing reports using Looker Studio. - Experience with data warehousing and familiarity with cloud-based data architecture. Soft Skills: - Strong analytical and problem-solving skills, with a keen attention to detail. - Excellent communication abilities and capacity to translate intricate data insights into actionable recommendations. - Ability to work autonomously and collaboratively in a dynamic environment. Experience: - 4+ years of relevant experience. Job Type: - Full-time (Work From Office Only) Email: - [email protected] Job Location: - The Citadel, 6th floor 601-603, Opp. Star Bazaar, Adajan, Surat, Gujarat 395009.,

As an experienced Data Architect with over 8 years of relevant experience, you will be responsible for designing and implementing scalable and resilient data architectures for both batch and streaming data processing. Your role will involve developing data models and database structures to ensure efficient data storage and retrieval. Ensuring data security, integrity, and compliance with relevant regulations will be a key focus area for you. You will also be responsible for integrating data from various sources into the big data infrastructure and monitoring and optimizing its performance. Collaboration will be a crucial aspect of your job as you work closely with data scientists, engineers, and business stakeholders to understand requirements and translate them into technical solutions. Your expertise in evaluating and recommending new technologies and tools for data management and processing will be invaluable. Additionally, you will provide guidance and mentorship to junior team members, identify and resolve complex data challenges, and actively participate in the pre-and-post sales process. The ideal candidate for this role will have a Bachelor's or Master's degree in computer science, computer engineering, or a relevant field with a total of 10+ years of experience. At least 2 years of experience as a Big Data Architect is required. You should have a strong understanding of big data technologies such as Hadoop, Spark, NoSQL databases, and cloud-based data services like AWS, Azure, and GCP. Proficiency in programming languages like Python, Java, Scala, and Spark is essential. Experience with data modeling, database design, ETL processes, and data security principles is also necessary. In addition to technical skills, strong analytical and problem-solving abilities, good communication and collaboration skills, knowledge of API design and development, and an understanding of data visualization techniques are required. Familiarity with authentication mechanisms like LDAP, Active Directory, SAML, Kerberos, and authorization configuration for Hadoop-based distributed systems is a plus. Experience with DevOps methodology, toolsets, and automation will be beneficial. If you are passionate about data architecture and possess the required skills and qualifications, this role offers an exciting opportunity to contribute to the design and implementation of cutting-edge data solutions.,

As a Senior Associate in Supplier Relationship Management (SRM) at EY, you will be part of the Supply Chain Services team within Global Procurement. Your role involves managing and analyzing spend data for top suppliers, ensuring accuracy and completeness while implementing data governance practices. By conducting thorough analysis of spend categories, identifying discrepancies, and using statistical methods to highlight trends, you will play a key role in driving value creation and fostering strong supplier relationships. Your responsibilities will include managing AP spend data, developing a structured Reseller Spend data framework, and building automated processes to enhance reporting efficiency. Collaborating with Supplier Managers and Relationship Managers, you will align reseller spend data with Original Equipment Manufacturer (OEM) data and provide actionable insights to stakeholders based on trends in spend analytics. To excel in this role, you must possess exceptional analytical skills, proficiency in data management using advanced Excel capabilities, and experience with data visualization tools such as Power BI. Strong communication skills, both verbal and written, are essential for presenting complex data clearly to diverse stakeholders. Your ability to thrive in a fast-paced environment, coupled with strong problem-solving abilities and attention to detail, will be crucial for success in this role. To qualify for this position, you should have a minimum of 5 to 6 years of overall experience, with at least 2 years in data analysis or analytics projects. Experience in statistical analysis, data visualization, and knowledge of supply chain processes and procurement analytics are also required. EY is committed to building a better working world by providing continuous learning opportunities, empowering individuals to define success on their terms, and fostering transformative leadership. In a diverse and inclusive culture, you will be valued for your unique perspective and empowered to make a meaningful impact. Join EY and contribute to shaping the future with confidence, while delivering exceptional client service and driving long-term value for clients, people, and communities.,

At Jacobs, you will have the opportunity to contribute towards solving the world's most critical problems for thriving cities, resilient environments, operational advancement, and cutting-edge manufacturing, among others. As a key player in this role, you will support the full project lifecycle, ensuring timely project delivery within budget and to the highest quality standards. Your blend of administrative skills, analytical mindset, and effective communication will be pivotal in managing project complexities and stakeholder expectations, making you a proactive problem-solver and an asset to project success. Your responsibilities will encompass various stages of project management, starting from project planning and initiation. You will collaborate with project stakeholders to define project scope accurately, support in pre-bid activities, ensure contractual compliance, and coordinate project setup tasks. Your role will also involve developing comprehensive project management plans, including schedules, cost estimates, communication strategies, and risk management plans. During project execution and monitoring, you will provide administrative support, manage project documentation and reporting, oversee schedule management using tools like Primavera P6/MSP, and assist stakeholders in financial monitoring using Earned Value Management techniques. Additionally, you will be involved in financial accuracy review, forecasting, analysis, subcontractor coordination, and procurement activities. As the project nears closure, you will be responsible for preparing project closeout reports, facilitating accounts reconciliation, managing project archiving, and collecting client feedback. Your qualifications should include a graduate or advanced degree in Engineering or a related technical discipline, along with a minimum of 8 years of post-qualification experience in project coordination, preferably in the infrastructure or construction industry. Technical skills required for this role include proficiency in MS Excel and other MS Office applications, financial acumen, schedule management abilities, and knowledge of data visualization tools like Power BI. Soft skills such as excellent communication, interpersonal skills, prioritization, organization, and the ability to work independently will be essential. You will collaborate with various stakeholders including Project Managers, Project Controllers, Project Accountants, Commercial Analysts, HSE, Procurement, and Legal teams. Mastery in software like MS Excel, MS Office, Planning software like MSP/Primavera, and Power BI/Data Visualization software will be advantageous for this role. At Jacobs, a culture of collaboration, innovation, and professional growth is fostered, providing employees with a conducive environment to work on key projects alongside industry leaders. The organization values a balance between career development, well-being, and a sense of belonging. Jacobs offers flexible working arrangements, extended leave options, and a range of social, health, and well-being initiatives to support its employees" professional growth. Jacobs encourages in-person interactions for fostering a strong culture and efficient client delivery. The hybrid working policy allows employees to split their work week between Jacobs offices/projects and remote locations, ensuring optimal productivity. Should you require any support or reasonable adjustments during the recruitment process, please contact the team via Careers Support for assistance.,

As a Financial Planning & Analyst at Rollick, you will play a crucial role in supporting the finance function by leading project management initiatives, enhancing business processes, conducting detailed financial analysis, and providing data-driven insights to senior management. Your responsibilities will include identifying cost-saving opportunities, driving operational efficiency, and supporting strategic decisions to ensure the financial health and growth of the company. Your role will involve minimal travel for business purposes. **Job Responsibilities** - **Project Management:** - Lead and manage key finance projects, ensuring timely delivery, resource optimization, and alignment with business objectives. - Collaborate with cross-functional teams to drive project success and achieve measurable outcomes. - **Process Improvement:** - Identify inefficiencies in current business processes and propose solutions to optimize workflows, reduce waste, and enhance productivity across the organization. - Implement best practices and monitor progress post-implementation. - **Financial Analysis:** - Conduct thorough financial analysis to support decision-making, including profitability analysis, variance analysis, and scenario planning. - Provide financial modeling to evaluate potential investments and business opportunities. - **Cost-saving Initiatives:** - Identify and evaluate opportunities for cost reduction and process efficiency improvements. - Collaborate with operations and finance teams to implement initiatives that result in measurable cost savings. - **Data-driven Insights:** - Analyze financial, sales, and operational data to generate actionable insights for senior management. - Create reports, dashboards, and presentations to communicate findings and make recommendations that support the company's strategic goals. - **Support Strategic Decisions:** - Provide analytical support to senior management in evaluating strategic options, mergers, acquisitions, or expansions. - Assess financial risks and returns to guide critical decision-making processes. **External Interfaces** - External Auditors - Financial Consultants - Senior Management **Internal Interfaces** - Finance Team - Sales Team - Operations Team - Production Team - Logistics & Planning Team - IT Team **Job Requirements** **Educational Qualification and Experience** - Masters degree in Finance, Business Administration, or related field. - 2-4 years of experience in business analysis, project management, or financial analysis within the manufacturing industry. **Competencies** **Technical** - Business Modelling & Analysis - Advanced Excel & Data Visualization Tools - Project Management Software Proficiency - Cost-Benefit Analysis - Business Process Optimization Techniques **Behavioral** - Analytical Precision - Attention to Detail - Strategic Thinking - Data-Driven Decision Making - Problem-Solving Orientation - Influencing - Result Orientation - Time Management and Prioritization - Proactive Initiative & Continuous Improvement Mindset **KRA & KPI** - Lead projects: - Project completion and outcomes. - Improve business processes: - Process efficiencies and cost reductions. - Provide financial analysis: - Accuracy and relevance of reports. - Identify cost-saving opportunities: - Achieved cost savings. - Present data-driven insights: - Insight Accuracy Rate (Percentage of insights and data interpretations that accurately reflect business outcomes).,

About Bp Our purpose is to bring together people, energy and markets to power and navigate a changing world. In a time of constant change and possibility we need talent to pursue opportunities, motivated by elite insight and expertise. We're always aspiring for more digital solutions, balanced outcomes and closer collaboration across our company and beyond, and you could be part of that too. Together we continue to grow as the world's leading energy company! We're creating collaborative workplaces that drive innovation and agility. If people are your passion, this is the right place for you. Would you like to help bp build the skills capability we need to deliver on our strategy as we transform towards an integrated energy company If yes, and this sounds like an exciting opportunity for you, please check more on this role below and how you could help us further advance. This role will sit within the Finance FP&A organization and will be accountable for delivering business planning and performance management and business associating support for specific Business/Functions. The Business Performance Senior Analyst role involves delivering business planning and performance management products for a large Oil and Gas business. This position requires associating with onsite technical and finance teams across different geographies to gain a deep understanding of the business context. The key objective is to develop and deliver insightful financial products that enable effective business financial performance management and support decision-making. The role demands good engagement skills and the ability to run conflicting priorities while meeting collaborator expectations. It also involves supplying to the cost performance management agenda, supporting core FP&A processes, and maintaining a proactive business associating relationship between finance and business teams. The incumbent would be potentially required to work under alternative shift arrangements to ensure appropriate overlap hours with Eastern Standard time or Asia Pacific time zones. Key Roles & Responsibilities: Performance Management: Prepare timely, accurate, and reliable financial and management information to support business decisions. Develop and explain material for business performance leadership team discussions, including key messages, analysis, and insights. Provide performance insights to business partners passionate about improving profitability. Business Associate and Performance Insights: Build and maintain a proactive business associate relationship with relevant Business/Function Leadership teams. Support the Performance Management agenda, ensuring robust and timely forecasts and delivery of MI analysis and commentary. Monitor and support cost reduction initiatives and ensure effective tracking and accurate analysis of profitability. Actuals Analysis: Analyze monthly/quarterly actuals, including trend analysis and explaining actuals vs. forecasts. Highlight areas where performance is behind or ahead of plan and suggest potential interventions. Business Planning: Play a key role in developing the long-term plan and quarterly plan update process. Coordinate the plan for a part of the business, analyze plan data in SAP-based systems, and output in PowerBI/Tableau reports. Prepare presentation material, including commentary, and answer follow-up questions from leadership or central finance teams. Joint Venture Management: Support the local finance team in developing plans and Authorization for Expenditure (AFEs) for joint venture partners" approval. Economic Evaluation: Perform economic analysis to evaluate the financial viability of various projects or scenarios. Develop insights into economic drivers and sources of value for the business. Strategy & Planning: Support the annual planning process, ensuring plans are appropriately challenged and assured. Produce detailed cost forecasts, focus on areas where encouraged targets are not being met, and ensure data quality in submissions. Support ad-hoc and strategic business decisions, understanding the implications and balancing risk and reward. Continuous Improvement: Identify and deliver continuous improvement opportunities in performance management products. Promote the use of standard systems and reports, and work towards standardizing and simplifying performance management processes. Job Requirements and Qualifications: Must have educational qualifications: Business/Finance or Engineering Field Degree level or equivalent Preferred education/certifications: Masters Degree or other qualification in a finance field e.g. MBA, CA, ICWA/Cost Accountants Minimum years of relevant experience: 5 years of relevant post degree experience in financial reporting, budgeting and forecasting Preferred experience: Experience within global, sophisticated and matrix organizations, preferably within an Oil & Gas business or experience in industries such as Retail, Asset-based business, Manufacturing, or Logistics. Must have experiences/skills (To be hired with): Knowledge and application of Plan to Perform processes, including technological competency and analysis. Strong analytical and insight capabilities, with a focus on continuous improvement in performance management and MI. Excellent teammate with strong communication skills, capable of translating sophisticated requirements into simple outcomes. Ability to gain trust from finance and business senior partner. Deliver operational improvements, share standard methodologies, and drive performance. Experience in working with financial systems such as SAP, Microsoft products and visualization tools such as Power BI, Tableau. You will work with: You will be working with a team of finance professionals as part of the Financial Planning and Analysis (FP&A) organization. The FP&A organization is an exciting new team being established by bp to create a centre of expertise in the areas of business planning, budgeting and forecasting, financial analysis and economic evaluation. The role will regularly interact and be the main contact point for Business/Functions senior leadership. In addition to the FP&A team, you will also be associating with the local finance team and various technical and leadership teams in onsite locations. Why join our team We support our people to learn and grow in a diverse and exciting environment. We believe that our team is strengthened by diversity. We are committed to crafting an inclusive environment in which everyone is respected and treated fairly. At bp, we provide the following environment & benefits to you: Family friendly workplace e.g.: parental leave, bereavement, compassionate leave. Employees wellbeing programs e.g.: Employee Assistance Program, Company Recognition Program. Possibility to join our social communities and networks. Life & health insurance, medical care package. Flexible working schedule: home / office based working arrangement. Opportunity to build up long term career path and develop your skills with wide range of learning options. If this role attracts you, apply now! Travel Requirement: Up to 10% travel should be expected with this role Relocation Assistance: This role is eligible for relocation within country Remote Type: This position is not available for remote working Skills: Analysis and modelling, Analytics, Benchmarking, Business Performance, Business process improvement, Commercial Acumen, Commercial performance management, Communication, Cost Management, Data visualization and interpretation, Decision Making, Economic evaluation methodology, Economic modelling, Financial Analysis, Group Problem Solving, Integrated Planning, Investment appraisal, Long Term Planning, Management Reporting, Managing change, Measurement and metrics, Organizational knowledge, Performance and planning, Performance management Legal Disclaimer: If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks.,

We are looking for a highly skilled and experienced Senior Tableau Developer to be a part of our expanding data visualization team. You should possess a deep expertise in Tableau Desktop and Server, along with a solid analytical mindset to develop engaging and insightful dashboards and visualizations that effectively present statistical data. Your role will be pivotal in converting intricate data into actionable insights for business stakeholders. Your responsibilities will include designing, developing, and maintaining interactive Tableau dashboards and visualizations, integrating appropriate statistical displays. You will be required to connect to various data sources like databases, spreadsheets, and cloud platforms, perform data modeling and transformation within Tableau, and create complex calculations and fields for dynamic statistical analysis. Additionally, collaborating with business stakeholders to gather requirements and translating them into effective visualizations will be essential. You should be well-versed in selecting and implementing suitable statistical methods and visualizations within Tableau, providing training and support to end-users, and keeping abreast of the latest Tableau features and best practices. Contributing to the development of data visualization standards and guidelines, optimizing Tableau dashboards, troubleshooting Tableau-related issues, and mentoring junior developers will also be part of your role. Qualifications: - Bachelor's degree in Computer Science, Information Systems, Statistics, or related field. - 5+ years of experience in developing Tableau dashboards with a focus on statistical data representation. - Advanced proficiency in Tableau Desktop and Server, statistical functions, and chart types. - Strong understanding of statistical concepts, data warehousing, and relational databases. - Experience in data modeling, ETL processes, and excellent analytical skills. - Ability to effectively communicate technical concepts to non-technical audiences. - Experience with other data visualization tools like Power BI, Qlik Sense is a plus. - Tableau certification is preferred. If you require a reasonable accommodation due to a disability to use our search tools or apply for a career opportunity, please review Accessibility at Citi.,

You will be responsible for leading the delivery of complex solutions, coding larger features from start to finish, actively participating in planning, and performing code and architecture reviews of your team's product. You will help ensure the quality and integrity of the Software Development Life Cycle (SDLC) for your team and identify opportunities for improvement in how the team works, through the usage of recommended tools and practices. Leading the triage of complex production issues across systems and demonstrating creativity and taking initiative in solving complex problems will be a crucial part of your role. As a high performer, you will consistently deliver a high volume of story points relative to your team and be aware of the technology landscape to plan the delivery of coarse-grained business needs spanning multiple applications. Influencing technical peers outside your team, setting a consistent example of agile development practices, and coaching other engineers to work as a team with Product and UX will be essential. Additionally, creating and improving internal libraries and tools, providing technical leadership on the product, and determining the technical approach will be part of your responsibilities. You will proactively communicate status and issues to your manager, collaborate with other teams to find creative solutions to customer issues, and show a commitment to delivery deadlines, especially seasonal and vendor partner deadlines critical to Best Buy's continued success. Requirements: - 7+ years of relevant technical professional experience with a bachelor's degree OR equivalent professional experience. - 2+ years of experience with Google cloud services including Dataflow, Big query, Looker. - 1+ years of experience with Adobe Analytics, Content Square, or similar technologies. - Hands-on experience with data engineering and visualization including SQL, Airflow, DBT, Power BI, Tableau, and Looker. - Strong understanding of real-time data processing and issue detection. - Expertise in data architecture, database design, data quality standards/implementation, and data modeling. Preferred qualifications include experience working in an omni-channel retail environment, experience connecting technical issues with business performance metrics, experience with Forsta or similar customer feedback systems, certification in Google Cloud Platform services, and a good understanding of data governance, data privacy laws & regulations, and best practices. Best Buy India is a vibrant hub of tech talent, driving innovation and accelerated business outcomes for Best Buy, customers, employees, and partners every day. The inclusive culture empowers you to learn, grow, collaborate, and make a real impact. Best Buy is North America's No. 1 tech specialty retailer, enriching lives through technology by helping personalize and humanize technology for millions of customers. This position is based in Bengaluru, and Best Buy India operates under a hybrid work model with an expectation for employees to be in the office three days a week. As a global organization, maintaining collaboration across the globe is a key proposition, and employees may be required to engage in extended hours during critical periods.,

Join our dynamic team and be a part of revolutionizing how technology intersects with business. Your analytical skills and tech-savviness will play a crucial role in creating impactful solutions as a Solutions Analyst III in corporate technology. In this role, you will be responsible for bridging the gap between product owners, business stakeholders, operations, and software developers. Leveraging your technical fluency and strong analytical reasoning skills, you will elicit and document comprehensive business and data flow requirements. Your ability to translate these requirements into well-structured and technically feasible solutions will be key in optimizing system performance and scalability. Your adaptability and leadership through change will enable you to effectively navigate complex situations and manage dependencies. By collaborating with cross-functional teams, you will contribute to the development of innovative architecture designs and data-driven insights that guide business decisions. Your excellent communication skills, both verbal and written, will facilitate clear and concise information exchange with diverse stakeholder audiences, fostering collaboration and alignment across departments. **Job Responsibilities:** - Elicit and document comprehensive business and data flow requirements by engaging with product owners, business stakeholders, and technical teams to ensure alignment and feasibility. - Translate complex business requirements into well-structured technical solutions, leveraging data analytics and technical knowledge to optimize system performance and scalability. - Conduct in-depth data analysis and interpretation to identify trends, gaps, and opportunities, providing actionable insights that support decision-making and key business initiatives. - Collaborate with cross-functional teams to develop and maintain architecture designs, policies, standards, and governance processes that align technology with business strategy. - Continuously enhance technical knowledge and stay current with industry trends, ensuring the application of best practices and innovative solutions to address evolving business needs. **Required Qualifications, Capabilities, and Skills:** - Formal training or certification on solution analyst concepts and 3+ years of applied experience. - Minimum of 3 years of experience in the Financial Services industry with a demonstrated track record of delivery and/or relevant experience in Regulatory reporting in DOI. - Proficiency in Oracle, SQL, Excel, and foundational knowledge of Python or Java. - Strong equity & equity-related products knowledge, understanding of trade booking and flows, and structured products. - Strong analytical, workflow, and data interpretation, and data visualization skills. - Strong relationship-building skills to influence/negotiate desired outcomes. Excellent interpersonal skills necessary to work effectively with colleagues and senior management. Strong verbal/written communication. - Proven ability to multitask in a fast-paced environment with regulatory deadlines. - Experience in dealing with large sets of data. **Preferred Qualifications, Capabilities, and Skills:** - Good to have Cloud knowledge.,

The role of Manager - Advanced Insights & Analytics (L09) at Synchrony involves working within Collections & Recovery Analytics team to support Collections, Recovery, and Servicing solutions. The main focus is on enhancing the performance of these solutions by developing BI products using Tableau and conducting detailed analysis using SQL/SAS and Python. The key objective is to provide insights to the Operations Leaders so that they can make better and impactful decisions. The successful candidate for this role should possess qualities such as being intellectually curious, proactive, collaborative, driven, and communicative. The responsibilities of this role include identifying and analyzing drivers of Servicing performance, leveraging advanced analytical techniques to improve agent experience or business outcomes, using time series techniques to predict future outcomes, and conducting A/B tests and what-if scenarios. The individual will be required to work remotely with the option to work from home, with occasional in-person engagements such as team meetings, training, and culture events at the nearest office. Full vaccination is required for in-person activities to ensure the safety of all colleagues and communities. Key responsibilities of the Manager - Advanced Insights & Analytics include developing data solutions to derive insights from customer behavior, customer experience, and associate metrics to drive business actions. The individual will collaborate with process owners across different teams in Servicing on analytical projects, execute projects under tight deadlines, prepare and deliver presentations summarizing findings and recommendations, and support loss/cost estimations. The qualifications and requirements for this role include a Bachelor's degree in STEM related fields with 2-5 years of experience in analytics or 4-7 years of experience in the absence of a degree. Proficiency in BI applications, tools for managing data, analytical tools (such as SAS, Python, R, etc.), SQL/SAS, and Microsoft Office is required. Desired characteristics include the ability to deliver advanced analytics solutions, propose efficient data options, work with large volumes of data, and excellent communication and collaboration skills. The working timings for this role are between 06:00 AM Eastern Time and 11:30 AM Eastern Time, with flexibility for the remaining hours to be chosen by the employee. Internal applicants are advised to understand the criteria for the role, inform their Manager or HRM before applying, update their Professional Profile, and adhere to the eligibility criteria specified for the role. Overall, the Manager - Advanced Insights & Analytics role at Synchrony offers an opportunity to work on impactful analytics projects, collaborate with cross-functional teams, and contribute to the growth and success of the organization.,

Your opportunity to make a real impact and shape the future of financial services is waiting for you. Let's push the boundaries of what's possible together. As a Senior Director of Software Engineering at JPMorgan Chase within the Consumer and Community Banking division, you will be responsible for leading various technical domains, overseeing the activities of multiple departments, and fostering cross-functional collaboration. Your technical expertise will be utilized across different teams to promote the adoption and implementation of advanced technical methods, helping the firm stay ahead of industry trends, best practices, and technological advancements. You will lead multiple technology and process implementations across departments to achieve firmwide technology objectives. Directly managing multiple areas with strategic transactional focus, you will provide leadership and high-level direction to teams while frequently overseeing employee populations across multiple platforms, divisions, and lines of business. Acting as the primary interface with senior leaders, stakeholders, and executives, you will drive consensus across competing objectives. Additionally, you will manage multiple stakeholders, complex projects, and large cross-product collaborations, influencing peer leaders and senior stakeholders across the business, product, and technology teams. Moreover, you will champion the firm's culture of diversity, equity, inclusion, and respect. Required qualifications, capabilities, and skills include formal training or certification on data management concepts and 10+ years of applied experience. In addition, 5+ years of experience leading technologists to manage, anticipate, and solve complex technical items within your domain of expertise is essential. Proven experience in designing and developing large-scale data pipelines for batch & stream processing, a strong understanding of Data Warehousing, Data Lake, ETL processes, and Big Data technologies, expertise with public cloud platforms such as AWS, Azure, GCP, and modern data processing & engineering tools are required. Excellent communication, presentation, and interpersonal skills, experience developing or leading large or cross-functional teams of technologists, demonstrated prior experience influencing across highly matrixed, complex organizations, and delivering value at scale, experience leading complex projects supporting system design, testing, and operational stability, experience with hiring, developing, and recognizing talent, extensive practical cloud-native experience, and expertise in Computer Science, Computer Engineering, Mathematics, or a related technical field are also necessary. Preferred qualifications, capabilities, and skills include experience working at the code level and ability to be hands-on performing PoCs, code reviews, experience in Data Modeling, proficiency in data modeling software like ERwin, experience with Data Governance, Data Privacy & Subject Rights, Data Quality & Data Security practices, strong understanding of Data Validation / Data Quality, experience with supporting large-scale AI/ML Data requirements, and experience in Data visualization & BI tools is a huge plus.,

As an AI Engineer at SOLIZE India Technologies, you will be responsible for developing and optimizing AI models for deployment on edge devices, with a specific focus on anomaly detection and sensor data processing. Your role will involve designing and implementing anomaly detection models using statistical and unsupervised learning techniques, as well as developing and integrating AI models optimized for edge devices. You will work with time-series and sensor data, applying appropriate preprocessing, noise reduction, and feature extraction techniques. Utilizing deep learning architectures such as CNNs, RNNs, LSTM, GRU, and GANs will be a key part of your responsibilities. Additionally, you will be expected to perform model evaluation, optimization, cross-validation, and hyperparameter tuning, as well as visualize and analyze datasets using Python tools like Pandas, Matplotlib, and Seaborn. To excel in this role, you should have a strong foundation in machine learning and deep learning, along with hands-on experience in Python and AI frameworks. You must possess knowledge of anomaly detection techniques, experience in integrating AI models, and a fundamental understanding of machine learning and deep learning. Proficiency in Python libraries such as TensorFlow, PyTorch, and scikit-learn is essential, as is an understanding of time-series data processing and sensor data processing techniques. Data visualization and analysis skills, as well as AI model optimization and evaluation methods, will also be crucial for success in this position. The ideal candidate for this role is a young to mid-career professional with a flexible mindset and a strong willingness to learn. An interest in Japanese culture, such as anime, would be beneficial. You should have a strong interest in AI and embedded development, excellent problem-solving skills, and a keen interest in Industrial IoT. If you are motivated by self-learning, collaborative team-oriented work environments, and the opportunity to deepen your knowledge in the field, we encourage you to apply for this position. Website: www.solize.com/india,

As a Senior Data Analyst, you will have the opportunity to work on complex and pressing challenges that require the collaboration of curious, ambitious, and determined leaders. Your role will involve driving data-driven decision-making by designing and developing high-quality analytical solutions using design thinking and agile methodologies. You will be responsible for ensuring seamless integration with global enterprise systems and managing the end-to-end development and tracking of value capture plans, reporting, and metrics in close collaboration with enterprise product teams. Your main responsibilities will include deriving actionable insights through advanced analytics, modeling data for consumption in collaboration with the data engineering team, and enabling stakeholders to make informed decisions. Additionally, you will serve as a data advocate, raising awareness of the value of data through storytelling, communication, and coaching. This role will provide you with the opportunity to work with a diverse, global team of finance professionals, transformation experts, front-end architects, analysts, and data scientists to deliver strategic impact across the organization. You are expected to thrive in a high-performance environment, bringing a growth mindset and entrepreneurial spirit to tackle meaningful challenges with real impact. In return for your drive, determination, and curiosity, the organization will provide the resources, mentorship, and opportunities to help you quickly broaden your expertise, grow into a well-rounded professional, and contribute to work that truly makes a difference. When you join the team, you will benefit from continuous learning opportunities through structured programs designed to help you grow and develop in a feedback-rich environment. Your ideas and contributions will be valued from day one, allowing you to make a tangible impact by offering innovative ideas and practical solutions. The organization encourages diverse perspectives as they are critical in driving towards the best possible outcomes. You will be part of a global community with colleagues across 65+ countries and over 100 different nationalities. This diversity fuels creativity and helps in coming up with the best solutions. Furthermore, you will have the chance to learn from exceptional colleagues with diverse backgrounds and experiences. The role requires a Graduate (B. Tech / BCA) in a technical or quantitative discipline such as Computer Science, Mathematics, Statistics, or related fields, along with 2-5 years of experience in data science or analytics roles. Proficiency in programming languages like Python and R, expertise in SQL, working with large datasets and distributed computing tools, experience with machine learning, AI, advanced statistical techniques, and data engineering are essential. Familiarity with data visualization tools like Tableau or Power BI and data modeling tools like Alteryx, Knime, etc., as well as knowledge of cloud database technologies and APIs (such as SAP HANA, Snowflake, SaaS), will be beneficial. A proven track record of delivering value through advanced analytics and machine learning is also desired.,

As a Sales Support Specialist, you are responsible for providing support throughout the sales process stages (1-7) to the sales, bid, and Capgemini client teams. Your role involves ensuring that the teams have access to the necessary resources such as content support, references, tools, market information, and knowledge support to effectively sell products or services to customers and deliver high-quality proposal responses. This may include proactive and reactive efforts in Proposal Support, Knowledge Management, Market and Business Intelligence. You will play a crucial role in ensuring the quality of proposals delivered to customers, facilitating the industrialization of knowledge management for faster content turnaround, and providing business and market insights including competition analysis, industry trends, and stakeholder profiling. In this role, you will be responsible for administering knowledge and content management, document management, and bringing the best content into proposals. You will work towards ensuring customized outcomes and delivering market watch reports from analysts as needed by the sales and bid managers for strategic inputs in bid or sales conversations. Active content contribution towards industrialization efforts is also a key aspect of your responsibilities. Key Skills and Competencies required for this role include networking, active listening, adaptability, problem-solving, analytical thinking, project management, business acumen, relationship building, business case development, client centricity, risk management, collaboration, sales analytics, continuous learning, sales budget management, CxO conversations, sales forecasting, data visualization, sales performance analysis, data-driven decision-making, sales pitching, emotional intelligence, sales planning, ethical reasoning, sales process optimization, executive presence, sales reporting, ideation, sales strategy management, industry knowledge, stakeholder management, influencing, storytelling, innovation, teamwork, market analysis, time management, value creation, verbal and written communication. If you possess these competencies and are passionate about supporting sales teams in achieving success, this role offers an exciting opportunity to contribute to the growth and success of the organization.,

The role of conducting advanced analytics within the Finance business to generate breakthrough insights enabling critical decision making involves building, testing, and improving medium complexity analytics models. This includes descriptive, diagnostic, and predictive statistics. Combining knowledge of data mining, statistical modeling, mathematics, econometrics, advanced concepts, and utilizing big data to generate actionable business insights is essential. The role also includes identifying or setting up new data sources, as well as cleaning and organizing data for analysis. Responsibilities include leveraging Data Science and Digital Skills in conjunction with Finance Business Context to create innovative solutions for business problems. This involves mining data using modern tools and programming languages, developing algorithms, performing small-scale experimentation, building data-driven applications, and translating data into actionable intelligence. Predictive modeling, statistics, and other analysis techniques are utilized to collect, explore, interpret, and extract insights from both structured and unstructured data. Implementing models to uncover patterns and predictions that drive business value and innovation is a key aspect of the role. Additionally, creating data stories using visualization tools/methods, ensuring data accuracy, integrity, and compliance, understanding business problem statements and initiatives, and maintaining proficiency within the data science domain are important responsibilities. Collaborating with project teams, keeping up with technology trends, communicating project progress, and supporting priority projects are also part of the role. Education & Experience Recommended: - BE/MTech/Bachelor's or Masters in Mathematics/Statistics - Typically 0-3 years of work experience, preferably in ML, Data Science, AI, Data Engineering, Data Analytics, Mathematical/Statistical modeling Cross-Org Skills: - Effective Communication - Results Orientation - Learning Agility - Digital Fluency - Customer Centricity,

You should be an expert with 3 to 6 years of experience in advanced topics related to Modern Data Warehousing, Database, Master Data, and Data Visualization. Your responsibilities will include defining, designing, and building MDM Data models and Data transformation rules to align with business requirements. You must possess strong hands-on experience in Master Data Management (MDM) processes and solid foundational and advanced skills in SQL. Additionally, you will be involved in applying and implementing data standards and guidelines regarding data ownership, coding structures, and data replication to ensure data access and integrity. Data cleaning to eliminate old, unused, or duplicate data for efficient management and quick access will be part of your tasks. You will also need to develop and execute strategies to translate business requirements and models into practical MDM designs. Your role will require a strong understanding of Data architecture and database skills, covering data consumption to rendering for effective data implementation. Proficiency in Agile processes and principles, including SDLC and CI/CD, is essential. You will provide data consulting to support business and IT initiatives and improve client database systems. Effective people management and stakeholder engagement skills will be crucial for success. Moreover, you should have diverse experience in MDM application tools, languages, and frameworks. Mandatory technical skills include expertise in Postgres SQL, SQL Scripting, Database, Data Warehousing, and Master Data. Familiarity with Oracle, Python Scripting, ETL, XMLs & XSDs is considered a secondary skill set. This is a full-time position with a work schedule from Monday to Friday. The work location is in person, requiring your presence on-site.,

You will be expected to demonstrate proficiency in research methodologies, data analysis, and relevant software/tools while adhering to ethical standards in research to ensure alignment with business and company processes. Your responsibilities will include evaluating market conditions, performing in-depth data analysis, and producing comprehensive reports with actionable insights. Additionally, you will be required to prepare and deliver presentations to stakeholders, effectively communicating research insights and collaborating with them to align research activities with organizational goals. You will gather data from various sources to conduct comprehensive analysis, analyze multi-functional data to extract meaningful insights, and use statistical methods to assess large and complex data sets. Developing proficiency in research programming software and creating intuitive data visualizations, reports, and dashboards for technical and non-technical audiences will be essential. Moreover, you will maintain data quality, develop and deploy predictive models and algorithms, and translate complex analytical concepts into accessible language for stakeholders. To qualify for this role, you should hold a Bachelor's degree in Business Administration, Economics, Statistics, or a related field, with a Master's degree preferred. A minimum of 5-7 years of experience as a Research Analyst or in a similar role performing data analysis and modeling, along with a strong understanding of statistical concepts, is required. Proficiency in programming languages and tools such as SQL, data visualization software (e.g., Tableau, Power BI), advanced Excel, and PowerPoint skills is essential. You should possess a strong aptitude for quantitative analysis, attention to detail, prioritization skills, and logical problem-solving abilities. Your main competencies should include analyzing complex data, reporting and presentation skills, change management, driving results, optimizing work processes, engaging with stakeholders, cultivating innovation, and developing a strategic mindset. You will be expected to mentor and motivate team members to achieve productivity and engagement. At Emerson, we prioritize a workplace where every employee is valued, respected, and empowered to grow. We foster an environment that encourages innovation, collaboration, and diverse perspectives. Our commitment to ongoing career development and growing an inclusive culture ensures you have the support to thrive. We invest in your success through mentorship, training, and leadership opportunities. We believe that diverse teams working together are key to driving growth and delivering business results. Furthermore, we recognize the importance of employee well-being and prioritize providing competitive benefits plans, various medical insurance plans, an Employee Assistance Program, employee resource groups, recognition programs, and more. Our culture offers flexible time off plans, including paid parental leave (maternal and paternal), vacation, and holiday leave.,

As a Research Intern at Twimbit, you will be part of a dynamic team focused on providing valuable industry intelligence to executives and teams. Your role will involve conducting market research, analyzing data, and preparing reports to support consultants in making data-driven business decisions. You will be responsible for researching industry trends, competitors, and consumer behavior, as well as collecting and analyzing data from various sources such as databases, surveys, and industry reports. Your findings will be summarized in reports, presentations, and data visualizations to assist in benchmarking, comparative analysis, and monitoring market trends for client projects. In this role, you will also help define research objectives, maintain research databases, and engage in fieldwork for data collection, interviews, or on-site observations. As a fresh graduate in Business, Economics, Marketing, BBA, MBA, or a related field, you should be proficient in PowerPoint, Word, and Excel, with strong communication, presentation, organizational, and time management skills. If you have an attention to detail, can work independently, possess a proactive attitude, and are willing to learn, this full-time internship opportunity in India (Delhi NCR, Punjab, Haryana, Rajasthan, Uttar Pradesh) could be a great fit for you. Join us at Twimbit to contribute to our mission of empowering businesses through insightful research and innovation.,