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analyst, business process

analytics manager

data analyst

Livspace

<div>
 
 
 Job Summary
 
 
 
 We are seeking a
 
 Data Analyst
 
 to join the digital marketing team and act as the bridge between our marketing, analytics, and business teams. The role involves analyzing digital marketing data, identifying trends, providing actionable insights, and supporting decision-making to optimize campaign performance, lead generation, and overall ROI
 
 
 
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 
 <ul>
 <li>
 Collect, clean, and analyze data from various digital marketing channels (Google Ads, Meta Ads, SEO, CRM, email campaigns, etc.).
 </li>
 <li>
 Build dashboards and automated reports through Google Sheets, SQL, Python and Quicksight
 </li>
 <li>
 Track KPIs like lead generation, customer acquisition cost (CAC), ROI, conversion rates, and campaign performance.
 </li>
 <li>
 Work closely with the digital marketing team to measure effectiveness of campaigns.
 </li>
 <li>
 Prepare dashboards with insights, trends, and forecasts to support management decisions.
 </li>
 <li>
 Evaluate new tools, technologies, and platforms for digital marketing analytics.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 
 
 
 Requirements
 
 
 <ul>
 <li>
 
 Experience
 
 : 1&ndash;4 years in digital marketing analytics, business analysis, or performance marketing roles.
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 
 Skills
 
 :
 </li>
 <li>
 Strong analytical skills with proficiency in Excel/Google Sheets, SQL, Python and visualization tools.
 </li>
 <li>
 Experience with marketing platforms: Google Ads, Meta Ads Manager, Google Analytics (GA4).
 </li>
 <li>
 Understanding of SEO/SEM, paid media, lead generation funnels, and attribution models.
 </li>
 </ul>
 
 
</div>

Data Analyst

hackajob

<div>
 
 
 hackajob
 
 is collaborating with
 
 UnitedHealth Group
 
 to connect them with exceptional tech professionals for this role.
 
 
 
 Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start
 
 Caring. Connecting. Growing together.
 
 
 
 
 Primary Responsibilities
 
 
 
 <ul>
 <li>
 Collect, clean, and analyze data from various sources
 </li>
 <li>
 Design and maintain data pipelines to ensure data quality and integrity
 </li>
 <li>
 Develop and maintain reports and dashboards in excel and Power BI
 </li>
 <li>
 Utilize SQL and Python and PySpark for data manipulation and analysis
 </li>
 <li>
 Identify trends, patterns, and anomalies in data sets
 </li>
 <li>
 Collaborate with cross-functional teams to understand business requirements and translate them into data solutions
 </li>
 <li>
 Communicate findings and insights to stakeholders through reports and presentations
 </li>
 <li>
 Develop and implement predictive models using machine learning techniques
 </li>
 <li>
 Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regard to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so
 
 
 </li>
 </ul>
 
 Required Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in data science, Statistics, Computer Science, or a related field
 </li>
 <li>
 Proven experience as a Data Scientist/Analyst or similar role
 </li>
 <li>
 Experience with data pipeline design and implementation
 </li>
 <li>
 Proficiency in SQL, Excel, Power BI, Python and PySpark
 </li>
 <li>
 Solid analytical and problem-solving skills
 </li>
 <li>
 Proven excellent communication and teamwork abilities
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience with Azure cloud platform
 </li>
 <li>
 Experience with data visualization tools like Power BI
 </li>
 <li>
 Knowledge of machine learning frameworks
 
 
 </li>
 </ul>
 
 At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone - of every race, gender, sexuality, age, location and income - deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.
 
</div>

Data Analyst 2

Citi

<div>
 The Business Analytics Analyst is a developing professional role. Applies specialty area knowledge in monitoring, assessing, analyzing and/or evaluating processes and data. Identifies policy gaps and formulates policies. Interprets data and makes recommendations. Researches and interprets factual information. Identifies inconsistencies in data or results, defines business issues and formulates recommendations on policies, procedures or practices. Integrates established disciplinary knowledge within own specialty area with basic understanding of related industry practices. Good understanding of how the team interacts with others in accomplishing the objectives of the area. Develops working knowledge of industry practices and standards. Limited but direct impact on the business through the quality of the tasks/services provided. Impact of the job holder is restricted to own team.
 
 
 
 Responsibilities:
 
 
 
 <ul>
 <li>
 Gathers operational data from various cross functional stakeholders to examine past business performance
 </li>
 <li>
 Identifies data patterns &amp; trends, and provides insights to enhance business decision making capability in business planning, process improvement, solution assessment etc.
 </li>
 <li>
 Recommends actions for future developments &amp; strategic business opportunities, as well as enhancements to operational policies
 </li>
 <li>
 May be involved in exploratory data analysis, confirmatory data analysis and/or qualitative analysis
 </li>
 <li>
 Translate data into consumer or customer behavioral insights to drive targeting and segmentation strategies, and communicate clearly and effectively to business partners and senior leaders all findings
 </li>
 <li>
 Continuously improve processes and strategies by exploring and evaluating new data sources, tools, and capabilities
 </li>
 <li>
 Work closely with internal and external business partners in building, implementing, tracking and improving decision strategies
 </li>
 <li>
 Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.
 
 
 </li>
 </ul>
 
 Qualifications:
 
 
 
 <ul>
 <li>
 2-12
 </li>
 <li>
 Good communication skills (both verbal and written) and ability to work with cross-functional partners and team members
 
 
 </li>
 </ul>
 
 Education:
 
 
 
 <ul>
 <li>
 Bachelors/University degree or equivalent experience
 
 
 </li>
 </ul>
 This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.
 
 
 ------------------------------------------------------
 
 
 
 Job Family Group:
 
 
 
 Decision Management
 
 
 ------------------------------------------------------
 
 
 
 Job Family:
 
 
 
 Business Analysis
 
 
 ------------------------------------------------------
 
 
 
 Time Type:
 
 
 
 ------------------------------------------------------
 
 
 
 Most Relevant Skills
 
 
 
 Please see the requirements listed above.
 
 
 ------------------------------------------------------
 
 
 
 Other Relevant Skills
 
 
 
 For complementary skills, please see above and/or contact the recruiter.
 
 
 ------------------------------------------------------
 
 
 
 Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.
 
 
 
 
 If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review
 
 
 Accessibility at Citi.
 
 
 
 
 View Citi&rsquo;s EEO Policy Statement and the Know Your Rights poster.
 
 
 
</div>

Navi

<div>
 
 
 About the Team
 
 
 
 The Analytics team at Navi plays a pivotal role in driving data-informed decision-making across the organization. We work closely with all business functions to generate insights, build visibility, and validate hypotheses that shape strategy and execution. Our work spans five key verticals: Business and Product Analytics, Credit &amp; Credit Risk Analytics, Collections &amp; Biz-fin Analytics, Self-Serve and Automation.
 
 
 
 
 
 
 About the Role
 
 
 
 Data analyst is a key role within the Navi central analytics team, which bridges the gap between business teams and data. Their responsibilities would be around creating visibility across business KPIs, essential reports, dashboards for key business metrics. They will also work on leveraging automation for operational efficiency and data modeling to build a strong data infrastructure for easy access across teams.
 
 
 This is an entry level position within the team where you will get the opportunity to work with highly motivated colleagues to build data based solutions that will have direct business impact.
 
 
 
 
 
 
 Must Haves
 
 
 
 ● Bachelor's degree in Technology
 
 
 ● Proven 1-3 years of experience as an Analyst
 
 
 ● Proficiency in data analysis tools Excel, SQL, and any data visualization tools (e.g., Tableau, Power BI etc)
 
 
 ● Basic understanding of data platforms and ETL processes
 
 
 ● Ability to interpret complex data sets, has good attention to detail
 
 
 ● Problem Solving skills
 
 
 ● (Good to have) Prior data wrangling experience in R/Python
 
 
 
 
 
 
 What We Expect From You
 
 
 
 
 Data Management:
 
 
 
 
 &cir;
 
 Collect, organize, and maintain large datasets from multiple sources.
 
 
 &cir; Ensure data accuracy, completeness, and consistency.
 
 
 &cir; Develop and implement data quality standards and procedures.
 
 
 
 Analysis and Reporting:
 
 
 
 &cir; Use SQL Query, VLOOKUP, Pivot Tables, and other Excel functions to analyze
 
 
 financial and operational data.
 
 
 &cir; Prepare regular and ad-hoc reports for management, highlighting key performance
 
 
 metrics, trends, and insights.
 
 
 &cir; Identify areas for improvement and recommend actionable solutions based on data
 
 
 analysis.
 
 
 
 Dashboard Development:
 
 
 
 &cir; Design and develop interactive dashboards using Tableau, Excel or specialized
 
 
 BI tools.
 
 
 &cir; Customize dashboards to meet specific departmental or stakeholder
 
 
 requirements.
 
 
 &cir; Continuously monitor and update dashboards to reflect the latest data and
 
 
 insights.
 
 
 
 Process Optimization and stakeholder management:
 
 
 
 &cir; Collaborate with cross-functional teams to streamline data collection and reporting
 
 
 processes.
 
 
 &cir; Identify inefficiencies and bottlenecks in existing workflows and propose enhancements.
 
 
 &cir; Implement automation solutions to improve efficiency and accuracy in data management
 
 
 and reporting.
 
 
 
 
 
 
 Inside Navi
 
 
 
 We are shaping the future of financial services for a billion Indians through products that are simple, accessible, and affordable. From Personal &amp; Home Loans to UPI, Insurance, Mutual Funds, and Gold &mdash; we&rsquo;re building tech-first solutions that work at scale, with a strong customer-first approach.
 
 
 
 
 
 Founded by
 
 Sachin Bansal &amp; Ankit Agarwal
 
 in 2018, we are one of India&rsquo;s fastest-growing
 
 
 financial services organisations. But we&rsquo;re just getting started!
 
 
 
 
 
 
 Our Culture
 
 
 
 
 The Navi DNA
 
 
 
 
 Ambition. Perseverance. Self-awareness. Ownership. Integrity.
 
 
 
 We&rsquo;re looking for people who dream big when it comes to innovation. At Navi, you&rsquo;ll be empowered with the right mechanisms to work in a dynamic team that builds and improves innovative solutions. If you&rsquo;re driven to deliver real value to customers, no matter the challenge, this is the place for you.
 
 
 We chase excellence by uplifting each other&mdash;and that starts with every one of us.
 
 
 
 
 
 
 Why You'll Thrive at Navi
 
 
 
 At Navi, it&rsquo;s about how you think, build, and grow. You&rsquo;ll thrive here if:
 
 <ul>
 <li>
 
 You&rsquo;re impact-driven
 
 </li>
 <li>
 
 You take ownership, build boldly, and care about making a real difference.
 
 </li>
 <li>
 
 You strive for excellence
 
 </li>
 <li>
 Good isn&rsquo;t good enough. You bring focus, precision, and a passion for quality.
 </li>
 <li>
 
 You embrace change
 
 </li>
 <li>
 You adapt quickly, move fast, and always put the customer first.
 </li>
 </ul>
 
 
</div>

Data Analyst I

Eternz

<div>
 
 About Eternz
 
 
 
 
 
 Eternz is on a mission to redefine how India buys, experiences, &amp; falls in love with jewelry. With 150+ premium brands live &amp; fresh Pre-Series A funding from marquee investors, we&rsquo;re India&rsquo;s #1 jewelry marketplace in a $94B+ category that&rsquo;s racing online.
 
 
 
 
 
 About the Role
 
 
 
 
 
 As a
 
 Data Analyst Intern
 
 , you&rsquo;ll be at the heart of our decision making, working closely with our product, marketing, and operations teams. You&rsquo;ll learn how to dive deep into datasets, analyze user journeys, and build dashboards that help shape the insights powering India&rsquo;s fastest-growing jewelry platform. This is a high-impact learning opportunity where you&rsquo;ll get exposure to analytics at internet scale.
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 <ul>
 <li>
 Assist in building and maintaining dashboards and reports to track key business KPIs
 </li>
 <li>
 Work with SQL queries to extract and analyze data from large datasets
 </li>
 <li>
 Support analysis of customer journeys, funnels, and product flows using Mixpanel or similar tools
 </li>
 <li>
 Help derive insights that improve customer experience and product engagement
 </li>
 <li>
 Collaborate with team members to evaluate experiments and product performance
 </li>
 <li>
 Present findings in a structured, data-backed way to internal stakeholders
 </li>
 </ul>
 
 
 
 
 Must-Have
 
 
 
 
 <ul>
 <li>
 Recently graduated from
 
 IIT/NIT
 
 </li>
 <li>
 Strong analytical mindset and problem-solving skills
 </li>
 <li>
 Good knowledge of SQL and data handling
 </li>
 <li>
 Basic understanding of data visualization (Power BI/Tableau/Looker)
 </li>
 <li>
 Excellent communication and attention to detail
 </li>
 </ul>
 
 
 
 
 Nice to Have
 
 
 
 
 <ul>
 <li>
 Exposure to Python/R for data analysis
 </li>
 <li>
 Interest in e-commerce, consumer tech, or marketplaces
 </li>
 <li>
 Prior internship or academic project experience in data analytics
 </li>
 </ul>
 
 
 
 
 What&rsquo;s in it for you
 
 
 
 
 <ul>
 <li>
 Direct mentorship from senior analysts &amp; the founding team
 </li>
 <li>
 Opportunity to work on high-impact projects in a fast-paced start-up
 </li>
 <li>
 Learn the dynamics of e-commerce, customer analytics &amp; business strategy
 </li>
 <li>
 A dynamic and collaborative work environment &ndash; no hierarchy/politics!
 </li>
 </ul>
 
 
 
 
 📍
 
 Location:
 
 HSR Layout, Bangalore (Work from Office)
 
 
 
 
 
 🗓️
 
 Working Days:
 
 6 days/week
 
 
 
 
 
 🌐 Website: www.eternz.com
 
</div>

Data Analyst Intern

Delta Air Lines

<div>
 
 
 About Delta Tech Hub:
 
 
 
 Delta Air Lines (NYSE: DAL) is the U.S. global airline leader in safety, innovation, reliability and customer experience. Powered by our employees around the world, Delta has for a decade led the airline industry in operational excellence while maintaining our reputation for award-winning customer service. With our mission of connecting the people and cultures of the globe, Delta strives to foster understanding across a diverse world and serve as a force for social good. Delta has fast emerged as a customer-oriented, innovation-led, technology-driven business. The Delta Technology Hub will contribute directly to these objectives. It will sustain our long-term aspirations of delivering niche, IP-intensive, high-value, and innovative solutions. It supports various teams and functions across Delta and is an integral part of our transformation agenda, working seamlessly with a global team to create memorable experiences for customers.
 
 
 
 
 
 
 Responsibilities:
 
 
 
 
 Data Integration and Harmonization:
 
 
 <ul>
 <li>
 Aggregate and normalize HR data from multiple platforms
 </li>
 <li>
 Implement data transformation and enrichment processes to support analytics and reporting needs.
 </li>
 </ul>
 
 
 
 
 
 Data Quality and Monitoring:
 
 
 <ul>
 <li>
 Develop and implement data validation and monitoring frameworks to ensure data accuracy and consistency.
 </li>
 <li>
 Troubleshoot and resolve issues related to data quality, latency, or performance.
 </li>
 </ul>
 
 
 
 
 
 Collaboration with Stakeholders:
 
 
 <ul>
 <li>
 Partner with teams, analysts, and data scientists to understand data requirements and translate them into technical solutions.
 </li>
 <li>
 Provide technical support and guidance on data-related issues or projects.
 </li>
 </ul>
 
 
 
 
 
 Tooling and Automation:
 
 
 <ul>
 <li>
 Leverage cloud-based solutions and frameworks (e.g., AWS) to streamline processes and enhance automation.
 </li>
 <li>
 Maintain and optimize existing workflows while continuously identifying opportunities for improvement.
 </li>
 </ul>
 
 
 
 
 
 Continuous Learning and Innovation:
 
 
 <ul>
 <li>
 Stay current with industry trends, tools, and technologies in data engineering and marketing analytics.
 </li>
 <li>
 Recommend and implement innovative solutions to improve the scalability and efficiency of data systems.
 </li>
 </ul>
 
 
 
 
 
 What you need to succeed (minimum qualifications):
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or master&rsquo;s in data science, Business Analytics, Information Science, Computer Science, Statistics, or a related field.
 </li>
 <li>
 2+ yrs of Experience as Data Analyst with experience in Python (NumPy &amp; Pandas) including (Matplotlib / Seaborn) &amp; EDA &amp; SQL &amp; Scikitlearn library.
 </li>
 <li>
 Experience with AWS DB - (S3 Bucket or Redshift) is required.
 </li>
 <li>
 Basic understanding of ETL / Glue data pipelines.
 </li>
 </ul>
 
 
 
 
 
 What will give you a competitive edge (preferred qualifications):
 
 
 <ul>
 <li>
 Hands on Experience with Dashboarding e.g Quick sight
 </li>
 <li>
 Desired experience working with HR Data
 </li>
 <li>
 Experience working with Glue/Lambda to develop data pipelines
 </li>
 <li>
 Experience working with DBT
 </li>
 </ul>
 
 ID: DELRM03
 
</div>

Data Analyst [T500-19943]

JPMorganChase

<div>
 
 Job Description
 
 
 
 Enables thought leadership and a team who are risk aware, empowered, and feel accountable to drive best in class service.
 
 
 
 Job Summary
 
 
 
 As a Client Data Analyst within the Operations team, you will be responsible for reviewing and improving data collection and verification processes, ensuring the accuracy and completeness of KYC records before they are reviewed by the client-facing team. Your advanced organizational skills will be crucial in managing multiple tasks and activities, while your proficiency in digital and tech literacy will help you leverage software applications and digital platforms to enhance processes and client experience.
 
 
 
 Job Responsibilities
 
 
 
 <ul>
 <li>
 Perform day to day management of a team including coaching and providing ongoing performance feedback.
 </li>
 <li>
 Track performance of individual team members over time to evaluate performance, learning and capability.
 </li>
 <li>
 Effectively address any service issues that might be escalated by either internal or external customers.
 </li>
 <li>
 Act independently and move forward without clear instruction or close supervision.
 </li>
 <li>
 Make decisions that are effective and well-grounded based on data, insight, and experience.
 </li>
 <li>
 Create an effective and efficient team through continuous communication, timely feedback, and appropriate supervisory practices.
 </li>
 <li>
 Organize workflow and distribute work appropriately.
 </li>
 <li>
 Support all aspects of client onboarding to include the fulfillment of AML and KYC requirement.
 
 
 </li>
 </ul>
 
 Required Qualifications, Capabilities, And Skills
 
 
 
 <ul>
 <li>
 Demonstrated ability to develop, manage, coach, and motivate teams.
 </li>
 <li>
 Must be flexible and adaptable to manage interim projects and processes based on the business requirements.
 </li>
 <li>
 Knowledge of banking products.
 </li>
 <li>
 Proven leader of process and organizational change.
 </li>
 <li>
 Demonstrated ability to identify, analyze, plan, prioritize, and solve problems, by providing viable solutions and executing.
 </li>
 <li>
 Strong communication and presentation skills.
 
 
 </li>
 </ul>
 
 Preferred Qualifications, Capabilities, And Skills
 
 
 
 <ul>
 <li>
 Previous experience in AML, Compliance, Fraud, KYC, or Operational Risk an advantage.
 </li>
 <li>
 Competent in mainframe and PC based systems, with a strong proficiency in MS Office.
 </li>
 <li>
 Previous people manager experience of high performing team.
 
 
 </li>
 </ul>
 
 About Us
 
 
 
 JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world&rsquo;s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
 
 
 We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants&rsquo; and employees&rsquo; religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
 
 
 
 About The Team
 
 
 
 J.P. Morgan&rsquo;s Commercial &amp; Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial &amp; Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.
</div>

Client Data Analyst

Explore 314+ Data analyst in Mangaluru this October. Find roles across top companies and apply now to boost your career.

314 data analyst jobs IN Mangaluru

Data Analyst

Data Analyst 2

Data Analyst

Data Analyst I

Data Analyst Intern

Data Analyst [T500-19943]

Client Data Analyst