etl developer associate data analytics engineer

Morgan Stanley

<div>
 We&rsquo;re seeking someone to join our team as ETL Developer who will be responsible for analyze the requirement and develop the Database procedure (MS SQL Server) to meet the business requirement, support existing application, and collaborates with business Analyst to understand the business requirement, perform the analysis and implement it.
 
 
 In the Technology division, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities. This is a ETL Dev on the AI platform position at Associate level, which is part of data &amp; analytics Engineering job family that provides specialist data analysis and expertise that drive decision-making and business insights as well as crafting data pipelines, implementing data models, optimizing data processes for improved data accuracy and accessibility, including applying machine learning and AI-based techniques.
 
 
 Morgan Stanley is an industry leader in financial services, known for mobilizing capital to help governments, corporations, institutions, and individuals around the world achieve their financial goals.
 
 
 
 What You&rsquo;ll Do In The Role
 
 
 
 <ul>
 <li>
 We are looking for highly motivated individuals who are ready to learn and grow.
 </li>
 <li>
 As a Software Engineer who will play a critical role in design and development of Informatica jobs to perform the data quality check to meet the business requirement.
 </li>
 <li>
 This role requires strong software engineering, design and development skills, and good problem-solving skills.
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Bring To The Role
 
 
 
 <ul>
 <li>
 At least 2 years&rsquo; relevant experience would generally be expected to find the skills required for this role
 </li>
 <li>
 Analyzes complex Informatica mapping, designs and troubleshoots.
 </li>
 <li>
 Good experience in writing complex SQL/PLSQL.
 </li>
 <li>
 Good in database specially in SQL server, good to have Snowflake &amp; Hive knowledge.
 </li>
 <li>
 Good knowledge of Informatica Power Center &amp; IDQ.
 </li>
 <li>
 Good in data warehousing concept.
 </li>
 <li>
 Good Unix Scripting knowledge
 </li>
 <li>
 Performs new development, maintenance fixes and enhancements to meet business requirements
 </li>
 <li>
 Assists other teams to troubleshoot application issues in production, quality assurance and other environments
 </li>
 <li>
 Working experience in Agile model.
 </li>
 <li>
 Documents designs for system requirements
 
 
 </li>
 </ul>
 
 What You Can Expect From Morgan Stanley
 
 
 
 We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren&rsquo;t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you&rsquo;ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There&rsquo;s also ample opportunity to move about the business for those who show passion and grit in their work.
 
 
 To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser.
 
 
 Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents.
</div>

ETL Developer_Associate_Data & Analytics Engineer

LS Digital Group

<div>
 
 Associate - Digital Analytics
 
 
 
 Office Location
 
 : Ghansoli
 
 
 
 Position Description
 
 :
 
 <ul>
 <li>
 Work independently on tags configuration and the development of tags and data layer using Google Tag Manager for Web and Mobile Apps.
 </li>
 <li>
 Work as an individual contributor and handle pipeline of tagging requests received from various clients as well as support large scale projects.
 </li>
 <li>
 Develop, design, build, test, and monitor of Web data layer and web tags/pixels.
 </li>
 <li>
 Work with interactive marketing teams (paid media, social media, organic search engine optimization) for tracking in their areas and merging of their data with web analytics, as needed.
 </li>
 <li>
 A good understanding of Google ecosystem and can perform tagging across all Google platforms including marketing platforms.
 </li>
 <li>
 Work with program managers/customer service team for timely implementation of changes in tagging due to site changes.
 </li>
 <li>
 Tagging schemas and specifications for new sites and new site features.
 </li>
 <li>
 Quality assurance and debugging of tagging as implemented by developers.
 </li>
 <li>
 Write tagging specifications/flow for developers for enhanced ecommerce websites/apps.
 </li>
 <li>
 Implement proper cookie consent triggers to adhere to regulatory standards (GDPR, CCPA).
 </li>
 <li>
 Write JavaScript to pull data from the DOM, dataLayer, JavaScript variables, and data objects for implementation in Google Tag Manager. Server-side tags implementation is a plus.
 </li>
 <li>
 Write SQL/Big Queries to verify and report on Google Analytics in the data warehouse.
 </li>
 <li>
 Access the Google Tag Manager and Google Analytics APIs for automating tasks.
 </li>
 <li>
 Quality assurance and debugging of tagging as implemented by developers.
 </li>
 </ul>
 
 
 
 
 
 Responsibilities
 
 :
 
 <ul>
 <li>
 Strong knowledge of DHTML (HTML, CSS, JavaScript, DOM).
 </li>
 <li>
 Hands-on in Looker Studio (Previously Data Studio) is a plus.
 </li>
 <li>
 Experience architecting, designing, and implementing data within a data layer.
 </li>
 <li>
 Experience in reporting and data crunching.
 </li>
 <li>
 Experience debugging analytics and other HTTP requests with browser developer tools/extensions.
 </li>
 </ul>
 
 
</div>

Digital Analytics Associate

HDFC Bank

<div>
 
 
 Vertical : Credit analytics and innovation
 
 
 
 
 Job Purpose
 
 
 
 Looking for exceptional Data Scientist with a proven track record of experience in Predictive analytics.
 
 
 
 
 
 
 Job Responsibilities(JR) : 6 &ndash; 8 Areas
 
 
 
 
 Actionable (4-6)
 
 
 
 &middot; Scorecard Building and Modelling
 
 
 
 
 
 &middot; Developing analytical models to assess risk profile of a customer / identifying cross-sell opportunities/fraud control for new and existing customers
 
 
 &middot; Responsible for development and deployment of various scorecards / models for the credit risk / Retail asset products of the Bank within the specified timelines. Ensure the deployment also is line with Bank&rsquo;s strategies so as to gain maximum efficiencies.
 
 
 &middot; Estimate probability of default arising out of the scorecards and monitor deviation from expected default rates.
 
 
 &middot; Monitor portfolio and identify pockets of opportunity for business growth and risk alerts to control NPAs. Communicate these alerts to the respective owners and follow-up for closure
 
 
 
 
 
 &middot; Formulating data cuts and strategies to assess credit risk for new and existing customers of the Bank. Give feedback to stakeholders to improve the usage of the models
 
 
 
 
 
 &middot; Develop novel approaches/algorithms in Risk modeling to constantly improve the operational efficacy of current models and its impact to stake holders
 
 
 
 
 
 &middot; To adopt the latest trends wrt fintech companies by applying the best-in-class financial models, risk strategies
 
 
 &middot; To work on various aspects related to automation of scorecards in Analytics domain.
 
 
 
 
 
 &middot; Explore data available within the Banks ecosystem but not used currently to meet the above stated business objectives
 
 
 
 
 
 &middot; Innovation
 
 
 &middot; Thinking, evolving and making significant changes in the processes, techniques, methods so as to save time, energy and money.
 
 
 &middot; Any other assignments depending on the needs of the organization
 
 
 
 
 
 
 Educational Qualifications
 
 
 
 
 Key Skills
 
 
 
 
 
 
 1. MCA/MTech/MSc Statistics or Economics/BTech/MBA or equivalent in Computer science/Statistics or related areas with strong inclination towards machine learning algorithms is preferred
 
 
 &middot; Excellent problem solving capabilities with strong fundamentals in computer science
 
 
 &middot; Strong technical &amp; analytical skills
 
 
 &middot; Hands-on experience in data wrangling (ETL), feature engineering, building and deploying scalable machine learning algorithms
 
 
 &middot; Strong written and verbal communication skills
 
 
 &middot; Excellent knowledge of current trends in the field of machine learning/analytics field
 
 
 
 Experience Required
 
 
 <ul>
 <li>
 Experience of 5+ years in analytics/predictive modeling/machine learning
 </li>
 <li>
 Experience of 5+ years in Python/R in building as well as deploying scalable analytics based models
 </li>
 <li>
 Exposure to banking preferable
 </li>
 </ul>
 
 
 
 
 
 Major Stakeholders
 
 (intra team and cross functional stakeholders, who would need to be interacted with for discharging duties)
 
 
 &middot; Credit Policy
 
 
 &middot; Underwriting
 
 
 &middot; Process
 
 
 &middot; Fraud Control
 
 
 &middot; Product
 
 
 &middot; Credit Bureaus
 
 
 &middot; Third Party Analytics Service Providers
 
 
 &middot; IT
 
 
 &middot; Legal
 
 
 &middot; Information Security
 
 
 
</div>

Data Scientist

Zeno Health

<div>
 
 
 Role Overview
 
 
 
 The candidate will collaborate closely with business users to understand their data needs, translate requirements into technical specifications, and deliver effective data solutions. The role includes performing root cause analysis, building dashboards, conducting business process assessments, and mentoring junior analysts.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Collaborate closely with business users to understand their data needs, translate requirements into technical specifications, and deliver data solutions.
 </li>
 <li>
 Perform root cause analysis on data discrepancies and implement data quality checks to ensure the integrity of data assets.
 </li>
 <li>
 Build highly impactful and intuitive dashboards that bring the underlying data to life through insights.
 </li>
 <li>
 Generate ad-hoc analysis for leadership to deliver relevant, action-oriented, and innovative recommendations.
 </li>
 <li>
 Conduct in-depth analyses of business processes, identify key levers in business and areas for improvement, and provide data-driven recommendations.
 </li>
 <li>
 Mentor and guide junior analysts, providing support and sharing best practices to enhance their skills and capabilities.
 </li>
 <li>
 Manage multiple tasks effectively, ensuring deadlines are met while maintaining high-quality deliverables.
 </li>
 <li>
 Design, implement, and analyze A/B experiments to test product changes and new features.
 </li>
 </ul>
 
 
 
 
 
 Skills Required
 
 
 <ul>
 <li>
 3+ years of relevant work experience as a Data Analyst
 </li>
 <li>
 Hands-on experience in SQL and Python
 </li>
 <li>
 Experience in data visualization tools such as Tableau
 </li>
 <li>
 Good aptitude and analytical skills
 </li>
 <li>
 Experience in statistical analysis and data modeling
 </li>
 <li>
 Demonstrated experience in data mining and cleansing, ETL data movement, and report and analysis automation/streamlining
 </li>
 <li>
 Experience working effectively with autonomy as well as within a team environment
 </li>
 <li>
 Understanding of Machine Learning concepts and willingness to learn
 </li>
 <li>
 Ability to zoom out for the bigger picture while working through the finer details
 </li>
 </ul>
 
 
 
 
 
 OKRs
 
 
 
 
 Objective 1: Enhance Data-Driven Decision-Making
 
 
 <ul>
 <li>
 KR1: Increase the adoption of data-driven decision-making across the organization.
 </li>
 <li>
 KR2: Improve data quality and accuracy, resulting in a reduction in data-related errors and discrepancies.
 </li>
 </ul>
 
 
 Objective 2: Drive Business Growth and Innovation
 
 
 <ul>
 <li>
 KR1: Helping teams achieve incremental business growth through data-informed strategies and recommendations.
 </li>
 <li>
 KR2: Identify and prioritize new avenues of improvement opportunities through data analysis.
 </li>
 </ul>
 
 
 Objective 3: Drive User Growth and Retention
 
 
 <ul>
 <li>
 KR1: Working on a data-driven strategy to increase user retention and acquisition.
 </li>
 <li>
 KR2: Identifying issues and challenges through data and solving with the team.
 </li>
 </ul>
 
 
 Objective 4: Creating Funnels for New Product Features Launch
 
 
</div>

Senior Data Analyst

Condé Nast India

<div>
 
 
 
 About Cond&eacute; Nast
 
 
 
 
 Cond&eacute; Nast is a global media company producing the highest quality content with a footprint of more than 1 billion consumers in 32 territories through print, digital, video, and social platforms. Cond&eacute; Nast is renowned for provocative, influential, award-winning content-across brands, across platforms, and across continents.Cond&eacute; Nast India is dedicated to producing high-quality, compelling content that connects with India&rsquo;s most influential audiences. A leader within the market, Cond&eacute; Nast India produces the premium titles Vogue, GQ, Cond&eacute; Nast Traveler, and Architectural Digest (AD)
 
 
 
 
 
 
 
 About the Role
 
 
 
 
 We&rsquo;re looking for a sharp and driven Digital Marketing Associate Manager to lead our in-house performance campaigns. This role is perfect for someone who thrives on data, knows the performance marketing ecosystem inside out, and can turn budgets into results with precision and creativity.
 
 
 
 
 
 
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Lead performance marketing campaigns end-to-end across Google, Meta, programmatic, and other paid channels.
 </li>
 <li>
 Own strategy, execution, and optimization to deliver ROI-driven growth.
 </li>
 <li>
 Deep dive into analytics and attribution to constantly improve efficiency.
 </li>
 <li>
 Collaborate with creative and content teams to bring campaigns to life with impactful messaging.
 </li>
 <li>
 Experiment with new platforms, tools, and strategies to stay ahead of the curve.
 </li>
 </ul>
 
 
 
 
 
 
 What We&rsquo;re Looking For
 
 
 
 <ul>
 <li>
 3&ndash;5 years of hands-on experience in performance marketing with a proven track record, mainly paid social, specifically Instagram
 </li>
 <li>
 Strong command over SEM, paid social [mainly Instagram], display and retargeting
 </li>
 <li>
 ROI focus
 </li>
 <li>
 Ability to guide the creative team on what kind of creative to create for the campaigns
 </li>
 <li>
 Data-first mindset with solid analytical and reporting skills.
 </li>
 <li>
 Comfortable working independently, yet great at collaborating across teams
 </li>
 <li>
 A mix of strategic thinking and roll-up-your-sleeves execution
 </li>
 </ul>
 
 
 
 
 
 
 Culture Fit
 
 
 
 <ul>
 <li>
 You thrive in a fast-paced, ownership-driven environment where ideas move quickly from strategy to execution.
 </li>
 <li>
 You bring both a startup hustle and a corporate discipline &mdash; balancing agility with accountability.
 </li>
 <li>
 Curiosity, collaboration, and a growth mindset are second nature to you.
 </li>
 </ul>
 
 
 
 
 
 Work Location
 
 : Lower Parel, Mumbai
 
 
 
</div>

Senior Digital Marketing Associate

PwC India

<div>
 
 
 Line of Service
 
 
 Advisory
 
 
 
 
 Industry/Sector
 
 
 FS X-Sector
 
 
 
 
 Specialism
 
 
 Risk
 
 
 
 
 Management Level
 
 
 Associate
 
 
 
 
 Job Description &amp; Summary
 
 
 At PwC, our people in forensic services focus on identifying and preventing fraudulent activities, conducting investigations, and maintaining compliance with regulatory requirements. Individuals in this field play a crucial role in safeguarding organisations against financial crimes and maintaining ethical business practices.
 
 
 In fraud, investigations and regulatory enforcement at PwC, you will focus on identifying and preventing fraudulent activities, conducting investigations, and confirming compliance with regulatory requirements. You will play a crucial role in safeguarding organisations against financial crimes and maintaining ethical business practices.
 
 
 
 
 Why PWC
 
 
 
 At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for&nbsp;our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for&nbsp;each other. Learn more about us.
 
 
 At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm&rsquo;s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations.
 
 
 
 
 
 Job Description &amp; Summary
 
 
 
 &nbsp;
 
 
 
 
 
 A career within
 
 
 
 &nbsp;
 
 Investigations and disputes
 
 
 , will provide you with the opportunity to help our clients
 
 &nbsp;
 
 
 
 leverage
 
 
 
 &nbsp;
 
 
 
 Investigations
 
 
 
 &nbsp;
 
 to enhance their customer experiences, &hellip;&hellip;&hellip;&hellip;&hellip;&hellip;&hellip;&hellip;&hellip;&hellip;&hellip;&hellip;
 
 
 
 &nbsp;
 
 
 
 
 &nbsp;
 
 
 
 
 
 *Responsibilities:
 
 
 
 
 
 
 
 &nbsp;
 
 
 <ul>
 <li>
 
 
 Discuss investigative findings with Partner and others concerned.
 
 &nbsp;
 
 
 
 Assist
 
 
 
 &nbsp;
 
 in conducting Fraud and Misconduct Investigations at variety of locations
 
 
 
 
 &nbsp;
 
 
 
 
 
 &bull; Assist in drafting clear, concise, and extremely robust reports within tight timelines. and across a wide range of industries.
 
 
 
 
 &nbsp;
 
 
 
 
 
 &bull; Helps client understand and analyze various events or issues and design remedial measures to deal with them.
 
 
 
 
 &nbsp;
 
 
 
 
 
 &bull; Work with clients, fraud examiners, internal &amp; statutory auditors, attorneys,
 
 &nbsp;
 
 
 
 lawyers
 
 
 
 &nbsp;
 
 and law enforcement agencies in critical, challenging and
 
 &nbsp;
 
 
 
 highly sensitive
 
 
 
 &nbsp;
 
 assignments.
 
 
 
 
 &nbsp;
 
 
 
 
 
 &bull; Initiate Risk Analytics for Fraud Detection &amp; find solutions that best meet clients&rsquo; needs
 
 &nbsp;
 
 
 
 develop
 
 
 
 &nbsp;
 
 forensic methodologies and forensic strategies in difficult circumstances.
 
 
 
 
 &nbsp;
 
 
 
 
 
 &bull;
 
 &nbsp;
 
 
 
 Identify
 
 
 
 &nbsp;
 
 key potential legal and regulatory compliance issues and provide an objective review of
 
 &nbsp;
 
 
 
 organization&rsquo;s
 
 
 
 &nbsp;
 
 fraud risk management framework.
 
 
 
 
 &nbsp;
 
 
 
 
 
 &bull; Use advanced tools and business intelligence techniques in proactive identification of
 
 &nbsp;
 
 
 
 likely issues
 
 
 
 &nbsp;
 
 and events.
 
 
 
 
 &nbsp;
 
 
 
 
 
 &bull;
 
 &nbsp;
 
 
 
 Maintaining
 
 
 
 &nbsp;
 
 client confidential data and
 
 &nbsp;
 
 
 
 processing it
 
 
 
 &nbsp;
 
 within the confines of PwC policy
 
 &nbsp;
 
 
 
 regarding
 
 
 
 &nbsp;
 
 data protection and confidentiality.
 
 
 
 
 &nbsp;
 
 
 
 
 
 &bull; Initiate risk analytics for fraud detection and find solutions that best meet clients&rsquo; needs and develop Forensic methodologies and strategies.
 
 
 
 &nbsp;
 
 
 
 </li>
 </ul>
 
 &nbsp;
 
 
 
 
 
 *
 
 
 
 
 Mandatory skill sets
 
 
 
 
 
 
 
 &nbsp;
 
 
 
 
 
 &bull;
 
 &nbsp;
 
 
 
 
 
 Assist Partners in conducting various proactive marketing efforts and sales
 
 &nbsp;
 
 
 
 pitch
 
 
 .
 
 
 
 
 &nbsp;
 
 
 
 
 
 &bull; Multitask across multiple engagements with Partners.
 
 
 
 &nbsp;
 
 
 
 
 
 *Preferred skill sets
 
 
 
 
 
 
 
 &nbsp;
 
 
 
 
 
 Proven experience in business development, managing partnerships with large and/or industry-leading organizations
 
 
 
 
 &nbsp;
 
 
 
 &nbsp;
 
 
 
 
 
 *Years of experience
 
 &nbsp;
 
 
 
 required
 
 
 
 
 
 
 
 &nbsp;
 
 
 <ul>
 <li>
 
 
 Bachelor&rsquo;s Degree holder with
 
 &nbsp;
 
 
 
 strong
 
 
 
 &nbsp;
 
 academic background, preferably in the fields of Finance, Law, Audit or Risk. Qualifications include but not limited to CA, CIMA, ACCA, CFA, CFE
 
 
 
 &nbsp;
 
 
 </li>
 </ul>
 <ul>
 <li>
 
 
 10+ years of professional service leadership including
 
 &nbsp;
 
 
 
 expertise
 
 
 
 &nbsp;
 
 in the areas of investigation, forensic accounting, and other forensic services.
 
 
 
 &nbsp;
 
 
 
 </li>
 </ul>
 
 
 *Education Qualification
 
 
 
 
 
 
 
 &nbsp;
 
 
 <ul>
 <li>
 
 
 CA
 
 
 
 &nbsp;
 
 
 
 
 
 </li>
 </ul>
 
 
 
 Education
 
 
 
 
 (if blank, degree and/or field of study not specified)
 
 
 
 Degrees/Field of Study required: Bachelor Degree
 
 
 Degrees/Field of Study preferred:
 
 
 
 
 
 Certifications
 
 
 
 
 (if blank, certifications not specified)
 
 
 
 
 
 
 Required Skills
 
 
 Investigation
 
 
 
 
 Optional Skills
 
 
 Accepting Feedback, Accepting Feedback, Active Listening, Communication, Compliance Oversight, Compliance Risk Assessment, Corporate Governance, Cybersecurity, Data Analytics, Debt Restructuring, Emotional Regulation, Empathy, Evidence Gathering, Financial Crime Compliance, Financial Crime Investigation, Financial Crime Prevention, Financial Record Keeping, Financial Transactions, Forensic Accounting, Forensic Investigation, Fraud Detection, Fraud Investigation, Fraud Prevention, Inclusion, Intellectual Curiosity {+ 7 more}
 
 
 
 
 
 Desired Languages
 
 
 
 
 (If blank, desired languages not specified)
 
 
 
 
 
 
 Travel Requirements
 
 
 
 
 
 Available for Work Visa Sponsorship?
 
 
 
 
 
 Government Clearance Required?
 
 
 
 
 
 Job Posting End Date
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
</div>

IN_Associate_Investigation_Investigations & Disputes_Advisory_Mumbai

<div>
 
 
 Role Overview:
 
 
 
 We are looking for a detail-oriented and analytical
 
 Business Analyst
 
 with strong technical skills in
 
 SQL, Tableau, and Python
 
 . The ideal candidate will work closely with business stakeholders to translate requirements into analytical solutions, generate meaningful insights, and support data-driven decision-making across the organization.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Partner with business, product, and operations teams to understand analytical requirements and translate them into effective data solutions.
 </li>
 <li>
 Extract, clean, and analyze large datasets using
 
 SQL
 
 to support reporting, insights, and strategic initiatives.
 </li>
 <li>
 Build interactive dashboards and visualizations using
 
 Tableau
 
 to communicate insights and trends to leadership.
 </li>
 <li>
 Use
 
 Python
 
 for data analysis, automation, and building analytical workflows or models (when required).
 </li>
 <li>
 Perform root cause analyses, identify business performance drivers, and develop actionable recommendations.
 </li>
 <li>
 Support KPI development, performance tracking, and business reviews through structured reporting.
 </li>
 <li>
 Collaborate with cross-functional teams to design scalable data solutions and process improvements.
 </li>
 <li>
 Present findings in a clear, concise manner to stakeholders and leadership teams.
 </li>
 </ul>
 <li>
 </li>
 
 
 Required Skills &amp; Experience:
 
 
 <ul>
 <li>
 2&ndash;7 years of experience as a
 
 Business Analyst
 
 , Data Analyst, or similar analytical role.
 </li>
 <li>
 Proficiency in
 
 SQL
 
 for data querying and transformation.
 </li>
 <li>
 Hands-on experience with
 
 Tableau
 
 for dashboard development and data visualization.
 </li>
 <li>
 Working knowledge of
 
 Python
 
 for analytics, automation, and data manipulation.
 </li>
 <li>
 Strong understanding of business metrics, analytical problem solving, and storytelling with data.
 </li>
 <li>
 Excellent communication skills with the ability to present complex insights clearly.
 </li>
 <li>
 Ability to work with cross-functional teams in a fast-paced environment.
 </li>
 </ul>
 
 
 
 
 
 Preferred Qualifications:
 
 
 <ul>
 <li>
 Experience working with product analytics, operations analytics, or financial/business reporting.
 </li>
 <li>
 Knowledge of statistical methods or basic predictive modeling.
 </li>
 <li>
 Exposure to cloud data platforms (AWS, GCP, Azure) or data warehousing tools (Snowflake, BigQuery, Redshift).
 </li>
 <li>
 Bachelor&rsquo;s degree in Engineering, Business, Analytics, Economics, Statistics, or a related field.
 </li>
 </ul>
 
 
</div>

Business Analyst

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