312 Data Analyst Jobs - Page 13

L&T Technology Services hosting drive on Saturday, 10th May 25 at Vadodara location. Experience: Document Controller & Data Analyst - 3 to 6 Years Information Management Coordinator - 6 to 12 Years Work Location: Document Controller & Data Analyst - Vadodara Information Management Coordinator - Vadodara/Delhi/Chennai Education: Diploma/BE (Mechanical/ Instrumentation/Electrical Engineering) Domain: Oil & Gas / Petrochemical / Pharmaceutical Job Description: 1. Document Controller Control and update project documents. Maintain the Document Distribution Matrix (DDM). Coordinate project deliverables flow. Report on deliverables progress and issues. Enforce Document Management procedures. Validate Master Document Registers (MDRs). Perform quality checks on contractor deliverables. Maintain the Company MDR. Assign document numbers and metadata. Participate in project meetings. Assist with project deliverables handover and Proficiency with Aconex, SharePoint, Documentum, and EDMS. 2. Data Analyst Ensure adherence to Information Management Plans, project specifications, and data control procedures. Perform data collection, cleansing, transformation, and loading for Contractor, Supplier, and Internal Project Stakeholder data. Conduct quality checks for compliance, completeness, and consistency with project requirements. Prepare data extracts for stakeholder systems and support data management tools throughout the project lifecycle. Develop training materials, report progress, and prepare standard reports like Issue Logs and Data Enrichment Reports. Engage with document control teams, participate in project meetings, and assist with the final handover of project deliverables. Previous experience in Plant maintenance in oil & gas industry is mandatory. 3. Information Management Coordinator Assist Information Management Lead to ensure compliance with the Document Management sections of Project Plans, Contract Coordination Procedures, and Purchase Orders. Prepare performance measurements, reporting, assessment of Contractors Document Management program. Ensure project documents are timely controlled, accessible and current at all project locations. Responsible for the maintenance and compliance of all scope required deliverables. Maintain Master Document Register (MDR) and Document Distribution Matrix (DDM) requirements, ensuring implementation. Project forms, documents templates, registers, training, and applicable tools including but not limited to document and data management systems. Execute progressive handover of the project documents to the operating/manufacturing organization. Prepare and issue periodic reports describing status and issues for overall document delivery on the project. IMC, Aconex, SP

Required MIS Executive good knowledge of Advance excel & Google sheet, google studio,Google appscript location - Thane Salary upto 40k interested share cv to hrseema.ec@gmail.com /watsap also 8839570100 for immediate response kindly watsapp also Required Candidate profile MIS Executive required candidate should be good knowledge of Advance excel & google sheet, google studio salary bracket 40k location - Thane interested share cv to hrseema.ec@gmail.com

Gainwell Technologies LLC Your role in our mission Designs, implements and maintains complex databases, access methods, access time, validation checks, organization, protection and security, documentation, and statistical methods to ensure that client requirements are satisfied. Reviews and edits data requirements and documents according to required standards by utilizing prescribed tools and methods to ensure that design and implementation are according to company guidelines and client specifications. Provides overall monitoring of standards and procedures and suggests revisions when necessary to ensure updated guidelines to meet changing market demands and consistency across databases. Should have experience in building analytical dashboards/reporting (Experience in Finance domain is desirable). Applies data analysis or data modelling techniques to establish, modify or maintain complex data structures and their associated components to increase efficiency of structures and components. Investigates and resolves technical matters of significance within databases by analysing and determining possible causes to ensure client satisfaction. Provides work direction and guidance to less experienced personnel using the data structures and associated components to ensure that business specifications are met. Provides training in data modelling techniques and in incorporating data modelling into information systems to ensure consistency in development and maintenance of database structures across the company. What we're looking for Seeking good analytical resources with at least 4 years of experience of working on analytical scorecards/dashboards. Experience in building dashboards and having working knowledge in analytical packages like Python, Tableau, SQL, Access, etc is desirable. Decent knowledge of ML/AI models will be an added advantage. Candidates should be able to develop detailed project plans and track it diligently. Qualifications Bachelor's degree or equivalent combination of education and experience. Experience working with data administration, repository management, database creation techniques, and data warehousing standards, strategies, and tools. Experience working with company used database and statistical software and product configurations. Experience working with relevant programming languages and relational databases for database management and general software development. Work Environment Hybrid/Remote environment. Will require late evening work hours to partially overlap US (Eastern Time) work hours. As a Data Analyst at Gainwell, you can contribute your skills as we harness the power of technology to help our clients improve the health and well-being of the members they serve — a community’s most vulnerable. Connect your passion with purpose, teaming with people who thrive on finding innovative solutions to some of healthcare’s biggest challenges. Here are the details on this position.

Exp - 7-12yrs Location - Hyderabad,Pune NP - Immediate to serving(30Days) Skills - PowerBI/Tableau/Alteryx Must have exp in SAP Data sourcing

Role : Sr. Business Analyst - typically includes a combination of technical expertise, leadership skills, and strategic vision. Job Responsibilities: • Requirement Gathering and Analysis: Lead the process of eliciting, analyzing, validating, and documenting business requirements from stakeholders . • Project Management: Oversee the planning, scheduling, and execution of projects related to business analysis, ensuring timely delivery and adherence to quality standards. Data Analysis: Utilize data-driven insights to identify trends, opportunities, and issues that impact business performance and decision-making. • Stakeholder Management: Act as a primary point of contact between business units and technical teams, ensuring clear communication and alignment of objectives. • Process Improvement: Identify inefficiencies in business processes and recommend improvements to enhance operational efficiency and effectiveness. • Team Leadership: Mentor and guide junior analysts, providing coaching and development opportunities to foster their growth and enhance team performance. • Documentation and Reporting: Prepare detailed reports, presentations, and documentation outlining findings, recommendations, and project status updates. • Risk Management: Assess risks associated with business requirements and proposed solutions, developing mitigation strategies as necessary.

Analyze business workflows and translate them into data structures. Define data requirements, advise on integration and modeling, ensure metadata accuracy, and support delivery teams with reusable data assets and insights. Required Candidate profile Analyst with strong understanding of data models, business workflows, metadata management, and integration best practices. Work with cross-functional teams to align data with ops and strategic goals.

Title: Looker Developer Team: Data Engineering Work Mode: Remote Shift Time: 3:00 PM - 12:00AM IST Contract: 12 months Key Responsibilities Collaborate closely with engineers, architects, business analysts, product owners, and other team members to understand the requirements and develop test strategies. LookML Proficiency: LookML is Looker's proprietary language for defining data models. Looker developers need to be able to write, debug, and maintain LookML code to create and manage data models, explores, and dashboards. Data Modeling Expertise:Understanding how to structure and organize data within Looker is essential. This involves mapping database schemas to LookML, creating views, and defining measures and dimensions. SQL Knowledge: Looker leverages SQL queries under the hood. Developers need to be able to write SQL to understand the data, debug queries, and potentially extend LookML with custom SQL. Looker Environment: Familiarity with the Looker interface, including the IDE, LookML Validator, and SQL Runner, is necessary for efficient development. Education and/or Experience Bachelor's degree in MIS, Computer Science, Information Technology or equivalent required 6+ Years of IT Industry experience in Data management field.

Take a lead role in acquiring, managing and retaining meaningful relationships that deliver outstanding experience to our customers. In this role, you will balance your focus on business results by offering options and finding solutions to help our customers with issues. Job Summary As a Client Data Analyst within JPMorgan Chase, you will play a pivotal role in maintaining the companys robustness and resilience. Your valuable contributions will be key in responsibly promoting the firms growth, as you foresee new and emerging risks and utilize your expert judgement to address real-world challenges affecting our company, customers, and communities. You will be an integral part of a culture that encourages innovative thinking, challenges the norm, and strives for top-tier performance. Job Responsibilities Understand and implement KYC standards, guidelines, policies, and procedures. Handle and maintain confidential client documentation. Collect and verify confidential client data via publicly available and internal sources. Understand the firm s KYC requirements when completing documentation inclusive of Customer Identification Program (CIP), Minimum Due Diligence (MDD), Enhanced Due Diligence (EDD), Local Due Diligence (LDD), Specialized Due Diligence (SpDD), and Product Due Diligence requirements (PDD). Review client data/processes to meet firm-wide quality standards. Interpret alerts and communicate to management when applicable. Engage with Middle Office and be part of KYC/AML interactions to complete the case as per the timeline. Comprehend the KYC risk factors and draft the overall risk summary for the client. Required Qualifications, Skills and Capabilities bachelors Degree or Graduate Degree. Knowledge of KYC is essential with at least 4 years experience (Audit, Control, Risk, AML, and Research may also be areas of experience) Strong research, analytical and comprehension skills, with ability to analyze large amounts of data Client focused with great customer engagement skills Experience in adhering to controls and compliance standards Self-starter with high levels of commitment & motivation to work with data, fix issues and achieve success in a team environment.

The Marketplace Health Science team at Uber plays a pivotal role in monitoring marketplace performance, detecting issues in real time, and driving solutions through algorithmic and data-driven interventions. Our work is essential to maintaining Uber s market leadership and delivering reliable experiences to riders and earners. We are seeking experienced data scientists who thrive on solving complex problems at scale. The ideal candidate brings a strong foundation in causal inference, experimentation and analytics, along with a deep understanding of marketplace dynamics and metric trade-offs. ---- What the Candidate Will Do ---- Refine ambiguous questions and generate new hypotheses about whether marketplace levers such as Rider and Driver Pricing, Matching, Surge etc are functioning appropriately through a deep understanding of the data, our customers, and our business. Define how our teams measure success by developing Key Performance Indicators and other user/business metrics, in close partnership with Product and other subject areas such as engineering, operations, and marketing. Collaborate with applied scientists and engineers to build and improve the availability, integrity, accuracy, and reliability of our models, tables etc Design and develop algorithms to increase the speed and accuracy with which we'react to marketplace changes. Develop data-driven business insights and work with cross-functional partners to find opportunities and recommend prioritization of product, growth, and optimization initiatives. ---- Basic Qualifications ---- Undergraduate and/or graduate degree in Math, Economics, Statistics, Engineering, Computer Science, or other quantitative fields. 6+ years of experience as a Data Scientist, Product Analyst, Senior Data Analyst, or other types of data analysis-focused functions. Deep understanding of core statistical concepts such as hypothesis testing, regression, and causal inference Advanced SQL expertise. Experience with either Python or R for data analysis. Knowledge of experimental design and analysis (A/B, Switchbacks, Synthetic Control, Diff in Diff, etc). Experience with exploratory data analysis, statistical analysis and testing, and model development. Proven track record to wrangle large datasets, extract insights from data, and summarize learnings/takeaways. Experience with Excel and some dashboarding/data visualization (ie, Tableau, Mixpanel, Looker, or similar). ---- Preferred Qualifications ---- Proven aptitude toward Data Storytelling and Root Cause Analysis using data. Excellent communication skills across technical, non-technical, and executive audiences. Have a growth mindset; love solving ambiguous, ambitious, and impactful problems. Ability to work in a self-guided manner. Ability to deliver on tight timelines and prioritize multiple tasks while maintaining quality and detail.

Job Summary: We are looking for a highly motivated and skilled Assistant Manager with strong experience in Data Analysis domain to join our growing team with demonstrated experience in handling large data sets and relational databases. Job Responsibilities: Demonstrate strong analytical and statistical skills towards taking complex business problems, wide variety of quantitative data, and provide structured and data-supported practical solutions towards optimizing shipping problems. Serve as a trusted partner to business units, translating complex analytical results into business insights, create necessary tools/reports to monitor and ensure program success. Ability to interpret complex data sets with the Strong Problem-solving skills. High level of attention to detail to ensure accuracy in data analysis and documentation. Proven track record of using analytics to drive significant business impact, creating deep-dives and presenting work efficiently. Ability to work with stakeholders to assess potential risks. Ability to analyze existing tools and databases and provide software solution recommendations. Ability to translate business requirements into non-technical, lay terms. Required Skills: B.Tech in a quantitative field like Engineering, Computer Science, Mathematics etc. 5+ years of relevant analytics experience - Strong analytical skills with expertise in SQL, and Excel. Proficiency in Python hands-on. A/B testing, very good ability with Quant (prior experience in Business performance analytics roles good to have) Campaign/promo measurement Good communication skills, with experience working in a fast-paced environment with cross-functional teams. We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, colour, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.

About Company:- Justo is a product of the knowledge and expertise of many proven industry leaders who come together to support our mission of helping developers grow in today s cut-throat competition. With a deep-seated thirst for knowledge and a firm understanding of the real estate ecosystem, our multifaceted perspective helps the developer to bring in their product in a very innovative way. Thereby, increasing the surety of success. Company Website:- https://justo.co.in - A Data Analyst in the real estate industry is responsible for analyzing and interpreting large sets of data to provide insights and support decision-making within the organization. Some specific responsibilities may include: Collecting, cleaning and analyzing data from various sources, such as property listings, sales data, market trends, and customer information. Creating and maintaining databases and data systems for efficient storage and retrieval of information. Using statistical and mathematical techniques to identify patterns and trends in data. Creating reports and visualizations to present findings to management and other stakeholders Identifying areas for improvement and making recommendations to management based on data analysis Collaborating with other departments to ensure data accuracy and consistency. Staying up-to-date with new technologies and methodologies for data analysis. Overall, a data analyst in real estate would be responsible for leveraging data to support business strategy, operations and decision-making.

Understands the business opportunities to hypothesize as an individual researcher and in collaboration with other team members in identifying the optimal business solution Produces clear, insightful, understandable work products (visualizations, reports, presentations, etc) to outline business opportunities and actionable recommendations internally Effectively partner with Developers, Operations across all Business Functions, Finance, and others to communicate findings from team s analytical insights, design tests and incorporate recommendations into business processes Build strategic insights and planning function that not only executes various projects and studies but also adds substantial value to the decision-making process through proactive data analysis, reporting, and research Work cross-functionally with business owners to develop innovative advanced analytics products that will increase customer experience, capitalize growth opportunities, deliver competitive advantage and improve decision making Participate and drive data modeling and governance best practices Partial project management operations in order to drive all aspects of projects including: understanding business requirements from stakeholders, independently formulating analysis approach and creating hypothesis, identifying required data, preparing data for analysis, testing hypothesis, conducting analysis, presenting complex information for various audiences in simplified terms, and identifying next steps and future opportunity Work with management team to create a prioritized list of needs for each business segment Processing confidential data and information according to guidelines Training end users on new reports and dashboards Acting as a liaison on Business Intelligence initiatives between business users and technology team Skills: SQL (important) DAX (important) Python (important) ETL (Extract, Transform, Load) (important) Transact-SQL (T-SQL) (important) Procedures Functions Triggers DB Admin (Nice to have) Bonus: Prior experience with R for data analysis & statistics