business analyst

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assistant manager - business analyst Jobs in Mumbai

assistant manager - business analyst

business analyst - regulatory reporting Jobs in Mumbai

business analyst - regulatory reporting

data analyst (bureau)

data analyst

IDFC FIRST Bank

<div>
 
 
 Job role:
 
 Data Analyst
 
 
 
 Department:
 
 New Age &ndash; Data &amp; Analytics
 
 
 
 Purpose:
 
 
 
 For the role of a data analyst, the candidate needs to gain a deep understanding of the business, identify scope to use analytical solutions to aid business decision making and drive business outcomes. This is a techno-functional role where the candidate will have the opportunity to interact closely with the business stakeholders as well as explore new age analytical techniques.
 
 
 
 Responsibilities:
 
 
 <ul>
 <li>
 Scope business requirements and priorities through thorough understanding of the retail portfolio
 </li>
 <li>
 Gain expertise over data to derive meaningful insights. This includes in-depth exploration and comprehension of different data fields from the source systems and data marts
 </li>
 <li>
 Design and implement analytical solutions to meet business needs
 </li>
 <li>
 Explore different new age algorithms and advanced computational methods to develop robust models and analytical frameworks
 </li>
 <li>
 Perform case reviews to innovate on new variable ideas
 </li>
 <li>
 Create processes and controls to ensure that data, analyses, strategies and recommendations are accurate
 </li>
 <li>
 Have an understanding of model governance and key model/variable tracking metrics
 </li>
 <li>
 Challenge status quo to bring about efficient outcomes to existing processes
 </li>
 <li>
 Interact closely and build strong relationships with multiple stakeholder teams to bring consensus and reach conclusive outcomes
 </li>
 <li>
 Understand the big picture of how analytical solutions drive business outcomes
 </li>
 </ul>
 
 
 Key Result Areas:
 
 
 <ul>
 <li>
 Development robust analytical solutions/models
 </li>
 <li>
 Timely delivery of projects
 </li>
 <li>
 Effective partnership with key stakeholders
 </li>
 </ul>
 
 
 Qualifications:
 
 
 <ul>
 <li>
 Post-graduation(Tier 1) with a minimum of 4+ years of credit or risk management experience
 </li>
 <li>
 Experience and understanding of advanced analytical tools such as SAS, Python, Spark, Big Data environments
 </li>
 </ul>
 
 
</div>

Data Analyst

Snapmint

<div>
 
 
 About Snapmint
 
 
 
 
 
 
 Snapmint is a leading fintech company redefining access to consumer credit in India. With over 10 million customers across 2,200+ cities, our zero-cost EMI platform enables responsible purchases without the need for a credit card across categories like fashion, electronics, and lifestyle.
 
 
 India has over 300 million credit-eligible consumers, yet fewer than 35 million actively use credit cards. Snapmint addresses this gap by offering a trusted, transparent alternative grounded in financial inclusion and ethical lending practices.
 
 
 
 
 
 Founded in 2017, Snapmint is a profitable, high-growth company doubling year-on-year. Our founding team&mdash;alumni of IIT Bombay and ISB&mdash;brings deep experience from Oyo, Ola, Maruti Suzuki, and prior successful ventures in ad-tech, patent analytics, and bank-tech.
 
 
 We are building the future of responsible consumer finance&mdash;simple, transparent, and customer-first.
 
 
 
 
 
 
 About the role:
 
 
 
 
 
 
 Snapmint is seeking a detail-oriented and analytical
 
 Data Analyst
 
 with strong proficiency in
 
 SQL
 
 and
 
 Python
 
 , and hands-on experience in
 
 preparing and validating data for credit bureau submissions
 
 . The ideal candidate will play a key role in ensuring high data quality, accuracy, and compliance with regulatory and credit bureau requirements.
 
 
 
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 
 <ul>
 <li>
 Extract, clean, and analyze data using
 
 SQL
 
 and
 
 Python
 
 for internal and external reporting.
 </li>
 <li>
 Prepare, validate, and submit credit bureau data files (e.g., Equifax, Experian, TransUnion) in accordance with bureau formats and timelines.
 </li>
 <li>
 Perform data quality checks to ensure completeness, accuracy, and consistency before submission.
 </li>
 <li>
 Collaborate with compliance, credit, and engineering teams to resolve data discrepancies or logic issues in reporting.
 </li>
 <li>
 Maintain documentation of reporting processes, validation rules, and submission logs.
 </li>
 <li>
 Automate repetitive data preparation and validation processes where possible.
 </li>
 <li>
 Monitor bureau feedback and rejection reports; lead root-cause analysis and remediation.
 </li>
 <li>
 Support internal audits, regulatory exams, and data governance initiatives related to bureau reporting.
 </li>
 </ul>
 
 
 
 
 
 Required Qualifications:
 
 
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Data Analytics, Statistics, Finance, or a related field.
 </li>
 <li>
 
 3-4 years of experience in Banking or Fintech/NBFC idustry
 
 </li>
 <li>
 Prior experience into lending
 </li>
 <li>
 
 Proficient in SQL
 
 &ndash; ability to write complex queries and handle large datasets.
 </li>
 <li>
 
 Experience in Python
 
 for data wrangling, validation, and automation (e.g., using pandas, NumPy).
 </li>
 <li>
 Prior experience in
 
 preparing credit bureau submissions
 
 or working with consumer credit data.
 </li>
 <li>
 Strong attention to detail and analytical thinking.
 </li>
 <li>
 Familiarity with data validation frameworks and reporting standards.
 </li>
 <li>
 Good communication skills and the ability to collaborate with cross-functional teams.
 </li>
 </ul>
 
 
 
 
 
 Location: Mumbai (Vidyavihar)
 
 
 
 
 
 
 
 Working Days: 5 days working
 
 
</div>

Data Analyst (Bureau)

Morgan Stanley

<div>
 We&rsquo;re seeking someone to join our team as Data Analyst for Firmwide Data Office department. The vision for the FDO is a multi-year effort to simplify firm's data architecture front-to-back with goals of reducing infrastructure and manpower costs, improving the ability to demonstrate control for data, empowering developers by providing consistent means of handling data and providing a platform to implement future change initiatives faster, cheaper and easier.
 
 
 Data governance is a very topical subject in both finance and technology industries. There is a significant demand within the firm, and we are currently a relatively small, lean team of around 100 people globally distributed between London, New York, Montreal and Shanghai. We have built out a team of 20 in Budapest, plan to further expand the global team size significantly in the coming years.
 
 
 
 CDRR_Technology
 
 
 
 The Cybersecurity organization's mission is to create an agile, adaptable organization with the skills and expertise needed to defend against increasingly sophisticated adversaries. This will be achieved by maintaining sound capabilities to identify and protect our assets, proactively assessing threats and vulnerabilities and detecting events, ensuring resiliency through our ability to respond to and recover from incidents and building awareness and increase vigilance while continually developing our cyber workforce.
 
 
 
 Firmwide Data Office
 
 
 
 Data COE team is distributed globally between New York, London, Budapest, India, and Shanghai; and are engaged in a wide array of projects touching all business units (Institutional Securities, Investment Management, Wealth Management) and functions (e.g., Operations, Finance, Risk, Trading, Treasury, Resilience) across the Firm. The team vision is a multi-year effort to simplify firm&rsquo;s data architecture and business processes front-to-back with goals of reducing infrastructure and manpower costs, improving the ability to demonstrate control of data, empowering developers by providing consistent means of handling data, facilitate data-driven insights &amp; decision making, and providing a platform to implement future change initiatives faster, cheaper, and easier.
 
 
 
 Data &amp; Analytics Engineering
 
 
 
 This is Associate position 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.
 
 
 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 Cloud &amp; infrastructure Engineering III position at Director Level, which is part of the job family responsible for managing and optimizing technical infrastructure and ensuring the seamless operation of IT systems to support business needs effectively.
 
 
 Since 1935, Morgan Stanley is known as a global leader in financial services, always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world.
 
 
 Interested in joining a team that's eager to create, innovate and make an impact on the world? Read on...
 
 
 
 What You&rsquo;ll Do In The Role
 
 
 
 <ul>
 <li>
 Be part of a team of innovative data management experts who will engage with business, operational and technology teams in order to:
 </li>
 <li>
 Inform them and provide guidance on the concepts of data management and governance.
 </li>
 <li>
 Support their efforts to deliver and maintain the firm's Global Data Quality Policy.
 </li>
 <li>
 Pursue data quality best practices and implement rules which will mitigate the risks related to the data used in the firm.
 </li>
 <li>
 Deliver regulatory requirements pertaining to the data used or produced by the firm.
 </li>
 <li>
 Provide support and guidance on queries related to data cataloguing and extracts Self-Serve Dashboards, Metrics, Reports support and associating minor/moderate fixes when required
 </li>
 <li>
 Perform root cause analysis, identifying common themes across data issues and suggest solutions - triaging amongst internal Teams
 </li>
 <li>
 Understand, capture and document new requirements relating to Reporting Services
 
 
 </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>
 Demonstrated experience in enterprise data management, data quality principles and methodologies.
 </li>
 <li>
 Demonstrated experience in stakeholder management.
 </li>
 <li>
 Experience with data visualization technologies (such as Tableau, PowerBI).
 </li>
 <li>
 Experience with data analysis and manipulation (such as DataIKU, PowerQuery).
 
 
 </li>
 </ul>
 
 You might also have: (nice to have skills)
 
 
 
 <ul>
 <li>
 Experience with data centric tools around data lineage and dictionaries, common data access APIs, golden source identification, ontology/taxonomy development, Data DevOps.
 </li>
 <li>
 Experience with meta data management tools (such as Collibra).
 </li>
 <li>
 Experience with Agile methodology (Scrum, Kanban).
 </li>
 <li>
 Experience with Python
 </li>
 <li>
 Experience with APIs.
 </li>
 <li>
 Experience with management of PII and other sensitive data.
 </li>
 <li>
 Understanding of finance regulatory drivers (Mifid II, AML, KYC).
 
 
 </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>

Data Analyst_Asociate_Data & Analytics Engineering

MacroHire

<div>
 
 
 Job Title:
 
 Business Analyst
 
 
 
 Experience Required:
 
 4+ years
 
 
 
 Location:
 
 Mumbai (Hybrid)
 
 
 
 
 
 
 Job Summary
 
 
 
 
 
 We are looking for a Business Analyst with 4+ years of experience and strong expertise in the real estate domain. The role requires proficiency in Power BI (DAX, Power Query, Power Pivot), SQL, Advanced Excel/Google Sheets, Microsoft Office 365, and Databricks. The ideal candidate should have hands-on experience in financial modeling, valuations, discounted cash flows (DCF), risk analysis, and data-driven decision-making, along with knowledge of Bloomberg Market Concepts. Key responsibilities include building dashboards, developing financial models, analyzing business requirements, preparing business documents (BRD, FRS, SOPs), and collaborating with stakeholders to deliver actionable insights. Strong problem-solving, critical thinking, and cross-functional collaboration skills are essential for success in this role.
 
 
 
 
 
 
 Required Skills, Experience &amp; Qualifications
 
 
 
 &bull; Strong research and data-gathering skills with an analytical mindset.
 
 
 &bull; Ability to compile and present insights effectively using Excel, PowerPoint, or similar tools.
 
 
 &bull; Excellent teamwork and communication skills, with the ability to collaborate in a fast-paced
 
 
 environment.
 
 
 &bull; Detail-oriented, proactive, and eager to learn about market trends and commercial real
 
 
 estate.
 
 
 &bull; Graduate degree.
 
 
 &bull; Previous background of working in the property industry is essential.
 
 
 &bull; Strong analytical, financial and modelling skills.
 
 
 &bull; Business and Commercial acumen &ndash; awareness of business implications of real estate
 
 
 investments and the ability to analyse and maximize return on investment and payback
 
 
 periods.
 
 
 &bull; Ability to understand the cause and effect of business drivers and KPIs.
 
 
 &bull; Good negotiating skills and the ability to drive real estate negotiations to yield maximum
 
 
 return with minimum risk.
 
 
 &bull; Strong communication, persuasion, presentation, and interpersonal skills.
 
 
 &bull; Understanding of different real estate deal structures and the implications on ROI.
 
 
 &bull; Comfortable making decisions, evaluating options, and considering consequences.
 
 
 &bull; Strong planning and organisational skills, including the ability to prioritize, multi-task and work
 
 
 effectively with minimal supervision.
 
 
 &bull; Adaptability and resilient. Able to respond quickly to changing demands, deal with incomplete
 
 
 information and keep going in demanding circumstances.
 
 
 &bull; Achievement orientation. Has the drive to succeed, not just for self, but for team and
 
 
 company
 
 
 &bull; Strong problem-solving skills and the ability to identify and escalate risks to senior
 
 
 management as required.
 
 
 
</div>

Business Analyst

<div>
 
 About Us
 
 
 
 Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment management and wealth management services. The Firm's employees serve clients worldwide including corporations, governments, and individuals from more than 1,200 offices in 43 countries.
 
 
 As a market leader, the talent and passion of our people is critical to our success. Together, we share a common set of values rooted in integrity, excellence, and strong team ethic. Morgan Stanley can provide a superior foundation for building a professional career - a place for people to learn, to achieve and grow. A philosophy that balances personal lifestyles, perspectives and needs is an important part of our culture.
 
 
 
 Key Responsibilities
 
 
 
 Key responsibilities will include but will not be limited to the following:
 
 
 <ul>
 <li>
 Support US-based colleagues with reporting, insights generation, and process optimization/ maintenance for Digital Direct media acquisition analytics. Focus areas will be performance measurement, analytical deep dives, media segmentation, and ad hoc strategic requests
 </li>
 <li>
 Investigative analytics, targeting &amp; segmentation, measurement, and reporting to provide actionable insights that will enable the firm to optimize media investments to drive growth and deliver the best experiences in our digital channels
 </li>
 <li>
 Leverage data across disparate sources/formats to create and maintain new and innovative datasets and solutions while continuing to streamline existing processes to improve efficiency.
 </li>
 <li>
 Create comprehensive and consistent reporting and visualization suites to enable and enhance regular reporting and benchmark creation.
 </li>
 <li>
 Develop efficient analytical solutions with focus on automation for new as well as existing processes.
 </li>
 <li>
 Build reporting and insights to understand the conversion and assets driven by media investments by channel to measure impact and optimize future investments Experience:
 </li>
 <li>
 Bachelor's degree in science/engineering/mathematics; MBA or other advanced degree preferred
 </li>
 <li>
 Associate: A minimum of 3 years of experience in Data &amp; Analytics (overall 3-5 years), preferably in the financial services industry
 </li>
 <li>
 Analyst: Experience of 2-2.5 years in data programming &amp; SQL, preferably in the financial services industry.
 
 
 </li>
 </ul>
 
 Required Skills
 
 
 
 <ul>
 <li>
 Strong proficiency in SQL and expertise in hands-on data analytics and sourcing data from multiple data platforms
 </li>
 <li>
 Proficiency with Microsoft Office tools (Excel, PowerPoint)
 </li>
 <li>
 Experience with data visualization tools like Tableau and understanding of the end-to-end set-up of a dashboard as well as automated process setup for regular reporting processes is desirable.
 </li>
 <li>
 Basic familiarity with tools/applications like Dataiku, Snowflake, Hadoop, DB2, Salesforce is a plus.
 </li>
 <li>
 Keen focus on accuracy and analytical rigor as well as attention to detail, given the highly visibility nature of deliverables owned by the team; ability to reproduce previously shared metrics/numbers by organizing code, processes and creating validation procedures for key projects
 </li>
 <li>
 Track record of working independently and solving problems creatively with a strong sense of accountability and displaying a can-do attitude
 </li>
 <li>
 Strong skills in oral and written communication including experience in effectively and transparently communicating with colleagues and management in a different geographic location
 
 
 </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>

Media Analytics, Admin, Associate, Wealth Management

Deloitte

<div>
 
 
 Your potential, unleashed.
 
 
 
 
 
 
 India&rsquo;s impact on the global economy has increased at an exponential rate and Deloitte presents an opportunity to unleash and realise your potential amongst cutting edge leaders, and organisations shaping the future of the region, and indeed, the world beyond.
 
 
 
 
 
 At Deloitte, your whole self to work, every day. Combine that with our drive to propel with purpose and you have the perfect playground to collaborate, innovate, grow, and make an impact that matters.
 
 
 
 
 
 
 The team
 
 
 
 
 
 
 
 As a member of the Operations Transformations team you will embark on an exciting and fulfilling journey with a group of intelligent and innovative globally aware individuals.
 
 
 We work in conjuncture with various institutions solving key business problems across a broad-spectrum roles and functions, all set against the backdrop of constant industry change.
 
 
 
 
 
 
 Your work profile
 
 
 
 
 
 
 
 Job Title
 
 : Data Scientist
 
 
 
 Location: Mumbai
 
 
 
 
 Total Experience
 
 : Minimum 5 years
 
 
 
 
 
 
 Required Skills:
 
 
 
 
 
 <ol>
 <li>
 B Tech/B.E. in Computer Science with Data Analytics/ AI, M.Sc. Data science
 </li>
 <li>
 Minimum experience of 5 Years in handling data science related projects
 </li>
 <li>
 Experience in using data science tools to simplify data wrangling, statistical modeling, and visualization tasks Technical experience in various aspects of data science - a creative problem solver with a strong skill in design and problem formulation; data curation; data acquisition, cleaning, and management; data interpretation, analysis; and the presentation and communication of results in an engaging and reproducible manner. Technical knowledge of one or more domains of development data such as economic statistics, demographic data, gender and social statistics, or other topics would be an advantage
 </li>
 <li>
 Technical knowledge of one or more distinct data sources and associated methods such as household surveys, administrative systems, geographic information systems, satellite imagery and other sensor data, &ldquo;big data&rdquo;, would be an advantage.
 </li>
 <li>
 Excellent working knowledge of modern statistics, scripting, and programming languages such as R/python/SPSS/power BI and SAS VIYA and associated software libraries is a must. They must have written and verbal communication skills
 </li>
 </ol>
 
 
 
 
 
 How you&rsquo;ll grow
 
 
 
 
 
 
 
 
 Connect for impact
 
 
 
 
 
 
 
 Our exceptional team of professionals across the globe are solving some of the world&rsquo;s most complex business problems, as well as directly supporting our communities, the planet, and each other. Know more in our
 
 Global Impact Report
 
 and our
 
 India Impact Report
 
 .
 
 
 
 
 
 
 
 Empower to lead
 
 
 
 
 
 
 
 You can be a leader irrespective of your career level. Our colleagues are characterised by their ability to inspire, support, and provide opportunities for people to deliver their best and grow both as professionals and human beings. Know more about
 
 Deloitte and our One Young World partnership.
 
 
 
 
 
 
 
 
 Inclusion for all
 
 
 
 
 
 
 
 At Deloitte, people are valued and respected for who they are and are trusted to add value to their clients, teams and communities in a way that reflects their own unique capabilities.
 
 Know more about everyday steps that you can take to be more inclusive.
 
 At Deloitte, we believe in the unique skills, attitude and potential each and every one of us brings to the table to make an impact that matters.
 
 
 
 
 
 
 
 Drive your career
 
 
 
 
 
 
 
 At Deloitte, you are encouraged to take ownership of your career. We recognise there is no one size fits all career path, and global, cross-business mobility and up / re-skilling are all within the range of possibilities to shape a unique and fulfilling career. Know more about
 
 Life at Deloitte.
 
 
 
 
 
 
 
 Everyone&rsquo;s welcome&hellip; entrust your happiness to us
 
 
 
 
 
 
 
 Our workspaces and initiatives are geared towards your 360-degree happiness. This includes specific needs you may have in terms of accessibility, flexibility, safety and security, and caregiving. Here&rsquo;s a glimpse of things that are in store for you.
 
 
 
 
 
 
 
 
 Interview tips
 
 
 
 
 
 
 We want job seekers exploring opportunities at Deloitte to feel prepared, confident and comfortable. To help you with your interview, we suggest that you do your research, know some background about the organisation and the business area you&rsquo;re applying to.
 
 Check out recruiting tips from Deloitte professionals.
 
 
 
 
</div>

Data Scientist

KPMG India

<div>
 
 
 Development &amp; Automation
 
 
 <ul>
 <li>
 Designed and developed complex data workflows using
 
 Alteryx Designer
 
 , enabling scalable and reusable ETL/ELT processes.
 </li>
 <li>
 Built predictive and advanced analytics solutions leveraging Alteryx&rsquo;s statistical tools and macros.
 </li>
 <li>
 Implemented robust data quality checks and validation mechanisms within automated workflows.
 </li>
 <li>
 Developed SQL queries involving complex joins across multiple tables for efficient data extraction.
 </li>
 </ul>
 
 
 
 
 🔹
 
 Power BI Development &amp; Reporting
 
 
 
 
 
 <ul>
 <li>
 Created interactive dashboards and visualizations using
 
 Power BI
 
 , tailored to business needs.
 </li>
 <li>
 Built optimized data models and measures using
 
 DAX
 
 , ensuring high-performance reporting.
 </li>
 <li>
 Automated data refresh schedules and monitored pipeline performance for reliability.
 </li>
 <li>
 Transformed and cleansed data using
 
 Power Query/M
 
 , integrating sources like SQL, Excel, SharePoint, and APIs.
 </li>
 </ul>
 
 
 
 
 🔹
 
 Data Integration &amp; Management
 
 
 
 
 
 <ul>
 <li>
 Integrated data from diverse platforms including databases, flat files, cloud services, and web APIs.
 </li>
 <li>
 Collaborated with DBAs and data engineers to ensure scalable data architecture and governance.
 </li>
 <li>
 Scheduled and monitored workflows via
 
 Alteryx Server/Gallery
 
 , maintaining version control and lineage documentation.
 </li>
 </ul>
 
 
 
 
 🔹
 
 Stakeholder Collaboration &amp; Enablement
 
 
 
 
 
 <ul>
 <li>
 Partnered with business teams to gather requirements and translate them into technical solutions.
 </li>
 <li>
 Conducted user training sessions and provided ongoing support for EUCs and digital tools.
 </li>
 <li>
 Presented insights, alternative solutions, and project updates to management and key stakeholders.
 </li>
 </ul>
 
 
 
 
 🔹
 
 Knowledge Sharing &amp; Documentation
 
 
 
 
 
 <ul>
 <li>
 Maintained comprehensive documentation for Alteryx workflows and Power BI reports.
 </li>
 <li>
 Contributed to internal knowledge bases and best practices repositories.
 </li>
 <li>
 Participated in digital forums and supported team enablement through training materials.
 </li>
 </ul>
 
 
 
 
 🔹
 
 Performance Optimization
 
 
 
 
 
 <ul>
 <li>
 Identified and resolved performance bottlenecks in workflows and dashboards.
 </li>
 <li>
 Applied strategies for efficient processing of large datasets across platforms.
 </li>
 </ul>
 
 
</div>

Developer

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