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business intelligence analyst, finance

data analytics specialist

Microsoft

<div>
 
 Overview
 
 
 
 Online advertising is what allows us to enjoy many online services for free, such as search engines, social networks, and music and video streaming platforms. It is also a growing business, as online time increases for more people and more advertisers want to reach them. The field of computational advertising combines information retrieval, data mining, machine learning, statistical modelling, optimization, linear algebra, and microeconomics to tackle the multitude of problems that can arise and to run operations optimally.
 
 
 We are hiring Data Scientists for the Microsoft Advertising Monetize analytics team and Microsoft Advertising Monetize. This team is responsible for driving overall product analytics, system observability, reporting, and identifying revenue growth opportunities. We use big data from different sources, such as advertisers, publishers, system components, and users, to identify connections between anomalies and conduct investigations, diagnosis, and resolution of issues that may impact the performance of the product, as well as to discover new areas of opportunity.
 
 
 For this role, we are looking for a strong software developer turned data enthusiast who loves to harness the power of data through statistical and quantitative analysis to gain meaningful insights and make key business decisions.
 
 
 
 Responsibilities
 
 
 
 Run analysis to explain behaviour of the products KPIs.
 
 
 <ul>
 <li>
 Improve dashboards and reporting of the system
 </li>
 <li>
 Running exploratory analysis to prove / disprove data hypothesis.
 </li>
 <li>
 Improve the system logging in the production code.
 </li>
 <li>
 Finding opportunities for improvements in revenue and other metrics of the system.
 </li>
 <li>
 Strong communication skills and ability to modify presentation as per audience.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 Required Qualifications:
 
 
 <ul>
 <li>
 4+ years of relevant experience is expected; however, for exceptional candidates, experience is not a constraint.
 </li>
 <li>
 Bachelor's or master's degree in engineering with a strong emphasis on data analytics; flexibility is available for exceptional candidates.
 </li>
 <li>
 Knowledge of at least one programming language: C, C++, C#, or Java.
 </li>
 <li>
 Knowledge of Python and/or R for general coding as well as data analysis is highly valued.
 </li>
 <li>
 Knowledge in some of the following areas: Machine Learning, Quantitative Analysis, Big Data Analytics, Business Analytics, Regression Modelling, Predictive Modelling, and Analytical Decision-Making.
 </li>
 <li>
 Good verbal and written communication skills.
 </li>
 <li>
 Strong technical competence and analytical skills.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 A collaborative team player with curiosity, a growth mindset, and a strong sense of responsibility
 </li>
 <li>
 Working knowledge of any other cloud service
 </li>
 <li>
 Demonstrated ability to work in collaborative, cross-functional teams, and contribute to high-quality, maintainable codebases.
 </li>
 <li>
 Proven experience in shipping production-quality code in fast-paced environments.
 </li>
 <li>
 Exposure AI/ML concepts and practical application of AI tools to solve modern engineering challenges.
 
 
 </li>
 </ul>
 #AdsIDCPositions
 
 
 This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
 
 
 Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about
 
 requesting accommodations.
 
</div>

Data Scientist II

KPMG India

<div>
 
 
 About KPMG in India :
 
 
 
 
 
 
 
 KPMG entities in India are professional services firm(s). These Indian member firms are affiliated with KPMG International Limited. KPMG was established in India in August 1993. Our professionals leverage the global network of firms, and are conversant with local laws, regulations, markets and competition. KPMG has offices across India in Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Jaipur, Hyderabad, Jaipur, Kochi, Kolkata, Mumbai, Noida, Pune, Vadodara and Vijayawada.
 
 
 
 
 KPMG entities in India offer services to national and international clients in India across sectors. We strive to provide rapid, performance-based, industry-focused, and technology-enabled services, which reflect a shared knowledge of global and local industries and our experience of the Indian business environment.
 
 
 
 
 
 
 
 About the Job :
 
 
 
 L
 
 ocation - Gurgaon/Pune/Bangalore
 
 
 
 
 Experience - 6+ Years
 
 
 
 
 
 
 
 Functional Skills
 
 
 <ul>
 <li>
 Determining, creating, and implementing internal process improvements, such as redesigning infrastructure for increased scalability, improving data delivery, and automating manual procedures.
 </li>
 <li>
 Building analytical tools that make use of the data flow and offer a practical understanding of crucial company performance indicators like operational effectiveness and customer acquisition.
 </li>
 <li>
 Helping stakeholders, including the data, design, product, and executive teams, with technical data difficulties.
 </li>
 <li>
 Working on data-related technical challenges while collaborating with stakeholders, including the Executive, Product, Data, and Design teams, to support their data infrastructure needs.
 </li>
 <li>
 Remaining up to date with developments in technology and industry norms can help you to produce higher-quality results.
 </li>
 </ul>
 
 
 
 
 
 Technical Skills:
 
 
 <ul>
 <li>
 Analyze large datasets to derive actionable insights and support decision-making processes.
 </li>
 <li>
 Develop and maintain data pipelines using PySpark and other data processing tools.
 </li>
 <li>
 Write efficient SQL queries to extract, transform, and load data from various sources.
 </li>
 <li>
 Implement data models and schemas to organize and optimize data storage and retrieval.
 </li>
 <li>
 Perform data normalization and denormalization to ensure data integrity and accessibility.
 </li>
 <li>
 Collaborate with data engineers to centralize and manage data assets.
 </li>
 <li>
 Ensure data quality through validation and cleansing processes.
 </li>
 <li>
 Utilize CI/CD pipelines to streamline data deployment and maintain continuous integration.
 </li>
 </ul>
 
 
 
 
 
 Qualifications:
 
 
 <ul>
 <li>
 6 years or more Proven experience in data analytics and working with large datasets.
 </li>
 <li>
 Proficiency in Python, including libraries such as Pandas and Numpy for data manipulation.
 </li>
 <li>
 Strong SQL skills for querying and managing databases.
 </li>
 <li>
 Experience with PySpark for large-scale data processing.
 </li>
 <li>
 Basic understanding of Hadoop and its ecosystem.
 </li>
 <li>
 Familiarity with data engineering concepts and best practices.
 </li>
 <li>
 Knowledge of data modeling, including schemas, normalization, and denormalization techniques.
 </li>
 <li>
 Understanding of data centralization, cardinality, and data quality principles.
 </li>
 <li>
 Good to have experience in CI/CD pipelines and tools
 </li>
 </ul>
 
 
 Banking
 
 
 <ul>
 <li>
 Deep understanding of banking operations, financial products, and regulatory frameworks
 </li>
 <li>
 Experience with data modeling, ETL processes, and statistical analysis
 </li>
 <li>
 Prior experience in retail or corporate banking analytics
 </li>
 <li>
 Analyze banking data including customer transactions, loan performance, and financial statements
 </li>
 <li>
 Support credit risk analysis and fraud detection initiatives
 </li>
 <li>
 Maintain and optimize banking databases and data pipelines
 </li>
 </ul>
 
 
 
 
 
 Equal employment opportunity information
 
 
 
 
 
 
 KPMG India has a policy of providing equal opportunity for all applicants and employees regardless of their color, caste, religion, age, sex/gender, national origin, citizenship, sexual orientation, gender identity or expression, disability or other legally protected status. KPMG India values diversity and we request you to submit the details below to support us in our endeavor for diversity. Providing the below information is voluntary and refusal to submit such information will not be prejudicial to you.
 
 
 
</div>

Data Analyst

Stripe

<div>
 Who we are
 
 
 
 About Stripe
 
 
 
 Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world&rsquo;s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.
 
 
 
 About The Team
 
 
 
 Stripe&rsquo;s infrastructure powers businesses all over the world. We process payments, run marketplaces, detect fraud, help entrepreneurs start an internet business from anywhere in the world, build world-class developer-friendly APIs, and more. User Billing provides a central entry point for Stripe products to monetize in global markets. It is ultimately responsible for the systems, programs, and operations that generate Stripe&rsquo;s revenue and the economic models we have with our customers. This is accomplished through a sophisticated pricing onboarding tooling and workflow management, unified billing engine, and custom solutions for our largest enterprise users.
 
 
 Our work is core to Stripe&rsquo;s business. Millions of customers look at us for a reliable and frictionless billing experience with Stripe.
 
 
 Technical Operations roles are a dynamic and key component of Stripe&rsquo;s success. Focused on serving Stripe customers, we sit at the intersection of product, sales, engineering, finance, and operations, acting as the connective tissues that ensure internal and external users receive user billing results accurately and timely.
 
 
 What you&rsquo;ll do
 
 
 
 Responsibilities
 
 
 
 Your responsibilities include:
 
 
 <ul>
 <li>
 Perform data analysis, identify trends, conduct research, build visualizations, all to deliver objective, critical insights that fulfill team stakeholders&rsquo; (GTM, Accounting, Finance, Tax) business needs
 </li>
 <li>
 Perform ticket triaging to identify potential misbilling billing by analyzing transactional data and figuring out the amount to be refunded or clawed back
 </li>
 <li>
 Provide data analysis support to Accounting and Finance &amp; Strategy team for month end close process (i.e. data validation, incident investigation)
 </li>
 <li>
 Coordinate cross-functional projects to identify and drive operational efficiencies that support our stakeholders ability to run a more efficiently and effectively
 </li>
 <li>
 Perform data analysis to support financial audits in a timely and accurately manner
 </li>
 <li>
 Work closely with FinSys engineering team to help define product solutions
 </li>
 <li>
 Conduct internal knowledge sharing sessions to strengthen team
 
 
 
 </li>
 </ul>
 Who you are
 
 
 You&rsquo;re passionate about solving business problems and making a direct impact on stakeholders. You are comfortable with dealing with many moving pieces, learning new technologies and systems, and you are excited about managing projects across multiple functions. This role gives you opportunities to work with data analysts, engineers, and business stakeholders directly in the US and India.
 
 
 We're looking for someone who is self driven, has strong data analytics skills and great communication skills with some domain knowledge in Finance/Accounting.
 
 
 
 Minimum Requirements
 
 
 
 <ul>
 <li>
 Bachelor's degree in STEM major (i.e. Computer Science, Math, Stat, Engineering, etc.) and 3+ years of prior working experience in data analysis fields
 </li>
 <li>
 Strong analytical ability, proficiency with SQL (minimum of 4 years advanced SQL) and strong understanding of data relationships
 </li>
 <li>
 Experience working with extremely large datasets
 </li>
 <li>
 Outstanding communication skills
 </li>
 <li>
 Expertise working cross-functionally to drive business and operational goals
 </li>
 <li>
 Excellent project management skills and ability to hold others accountable for results
 </li>
 <li>
 Ability to connect the big picture to minute details
 </li>
 <li>
 Operating as part of a team adhering to established norms and values
 </li>
 <li>
 Ability to identify opportunities to improve the data management processes
 </li>
 <li>
 Domain knowledge in Finance/Accounting
 
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Master&rsquo;s degree in STEM major
 </li>
 <li>
 Experience working in fast-paced environments (e.g. high-growth fintech/tech company, management consulting)
 </li>
 <li>
 Experience working with PM, Engineers, Finance Team or Accounting Team
 </li>
 <li>
 Experience in handling tickets and adhering to KPIs and metrics
 </li>
 <li>
 Experience managing/mentoring junior data analysts
 </li>
 <li>
 Experience with visualization tools
 </li>
 <li>
 Experience working with teams in disparate time zones (i.e. US teams)
 </li>
 <li>
 Experience in onboarding merchants to a billing platform
 
 
 
 </li>
 </ul>
 In-office expectations
 
 
 Office-assigned Stripes in most of our locations are currently expected to spend at least 50% of the time in a given month in their local office or with users. This expectation may vary depending on role, team and location. For example, Stripes in our Bucharest, Romania site have an 80% in-office expectation, and those in Stripe Delivery Center roles in Mexico City, Mexico and Bengaluru, India work 100% from the office. Also, some teams have greater in-office attendance requirements, to appropriately support our users and workflows, which the hiring manager will discuss. This approach helps strike a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility when possible.
 
 
 Pay and benefits
 
 
 Stripe does not yet include pay ranges in job postings in every country. Stripe strongly values pay transparency and is working toward pay transparency globally.
</div>

Financial Data Analyst - User Billing

LTIMindtree

<div>
 
 
 Job Title: Data Scientist &ndash; AI/ML/DL
 
 
 
 
 
 
 
 
 
 
 Location:
 
 PAN India
 
 
 
 
 
 
 
 
 
 About the Role:
 
 
 
 We are seeking a skilled Data Scientist with expertise in AI/ML/DL and Generative AI to join our dynamic team. The ideal candidate will have hands-on experience in advanced AI frameworks, cloud platforms, and modern data science tools.
 
 
 
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Design, develop, and deploy AI/ML/DL models for real-world applications.
 </li>
 <li>
 Work on Generative AI solutions and multi-modal language models.
 </li>
 <li>
 Collaborate with cross-functional teams to deliver scalable AI solutions.
 </li>
 <li>
 Optimize models for performance and accuracy across platforms.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Requirements:
 
 
 <ul>
 <li>
 
 Experience:
 
 3&ndash;6 years in Data Science and AI/ML/DL domain.
 </li>
 <li>
 Hands-on experience in
 
 Generative AI
 
 and
 
 Deep Learning
 
 .
 </li>
 <li>
 Strong programming skills in
 
 
 Python
 
 
 
 and familiarity with
 
 
 
 Linux/Windows
 
 
 
 environments.
 
 </li>
 <li>
 
 
 Proficiency with data science toolkits:
 
 
 
 TensorFlow
 
 ,
 
 Keras
 
 ,
 
 PyTorch
 
 ,
 
 Pandas
 
 ,
 
 NumPy
 
 , etc.
 </li>
 <li>
 
 
 Understanding of AI tool stack:
 
 NeMo Framework
 
 ,
 
 NIMs
 
 .
 </li>
 <li>
 
 
 Certifications:
 
 
 
 
 Preferably NVIDIA Certified Associate on GenAI.
 </li>
 <li>
 
 
 Exposure to GenAI frameworks:
 
 
 LangChain, LlamaIndex, LangGraph, CrewAI, Nemo Agent Toolkit (NAT).
 </li>
 <li>
 
 
 Knowledge of DL/GenAI algorithms:
 
 Transformers
 
 ,
 
 CNN
 
 ,
 
 RNN
 
 , etc.
 </li>
 <li>
 Experience with
 
 NLP
 
 ,
 
 Large Language Models
 
 , and multi-modal models like GPT, LLaMa, Mistral, Qwen, Nemotron.
 </li>
 <li>
 Familiarity with
 
 Cloud platforms
 
 : Azure, AWS, or GCP.
 </li>
 <li>
 Experience with
 
 Git
 
 ,
 
 Docker
 
 , and
 
 Kubernetes
 
 .
 </li>
 <li>
 Strong problem-solving and analytical skills.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Why Join Us?
 
 
 <ul>
 <li>
 Work on cutting-edge AI/ML projects.
 </li>
 <li>
 Collaborative and innovative work environment.
 </li>
 <li>
 Flexible location across PAN India.
 </li>
 </ul>
 
 
 
</div>

Data Scientist – AI/ML/DL

Qualitest

<div>
 Job description:
 
 
 Data Scientist &ndash; QA &amp; AI Enablement
 
 
 Role Summary
 
 
 
 We are seeking one Data Scientist to join the Hub component of the Client hub-and-spoke engagement model.The Data Scientist will play a key role in supporting the deployment, refinement, and optimization of Coco bots and AI-driven quality engineering initiatives.
 
 Key Responsibilities
 <ul>
 <li>
 
 Participate in daily stand-up meetings, provide status updates, highlight risks, and deliver daily and weekly status reports.
 
 </li>
 <li>
 
 Collaborate with business and technical stakeholders to gather representative and high-quality datasets for AI model development and testing.
 
 </li>
 <li>
 
 Perform statistical analysis, data visualization, data cleansing, and preparation of datasets for AI/ML testing and validation.
 
 </li>
 <li>
 
 Evaluate the effectiveness, reliability, and accuracy of new and existing data sources using appropriate data assessment techniques.
 
 </li>
 <li>
 
 Apply predictive modeling techniques to improve QA efficiency and optimize broader business outcomes.
 
 </li>
 <li>
 
 Coordinate with cross-functional teams to implement data models and monitor their operational outcomes.
 
 </li>
 <li>
 
 Develop and maintain processes, metrics, and tools to continuously monitor model performance, data quality, and accuracy over time.
 
 </li>
 </ul>
 Required Skills &amp; Experience (Must Haves)
 <ul>
 <li>
 
 
 AI / Machine Learning:
 
 Proficiency level 4/5
 
 </li>
 <li>
 
 
 Predictive Modeling:
 
 Proficiency level 4/5
 
 </li>
 <li>
 
 
 Data Modeling Implementation:
 
 Proficiency level 3/5
 
 </li>
 </ul>
</div>

Data Scientist- QA and AI  Enablement

Pixis

<div>
 
 Job Title: Technical SEO Specialist
 
 
 Job Type: Remote (US shift)
 
 
 
 
 
 Job Overview
 
 
 We are seeking a skilled
 
 Technical SEO Specialist
 
 to improve website performance, search visibility, and organic growth across multiple platforms. This role focuses on technical audits, site architecture, tracking implementation, and SEO best practices for modern CMS and eCommerce platforms.
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 &bull; Conduct
 
 comprehensive technical SEO audits
 
 and prioritize fixes
 
 
 &bull; Identify and resolve issues related to:
 
 
 Crawlability, indexation, site speed, and Core Web Vitals
 
 
 Duplicate content, redirects, canonicalization, and internal linking
 
 
 &bull; Plan and execute
 
 URL migrations
 
 , site restructures, and domain changes with minimal traffic loss
 
 
 &bull; Implement and maintain
 
 structured data (schema markup)
 
 to improve SERP visibility
 
 
 &bull; Create, optimize, and launch
 
 new SEO-friendly pages
 
 (landing pages, collections, blog templates, etc.)
 
 
 &bull; Collaborate with developers, designers, and content teams to ensure SEO best practices are followed
 
 
 &bull; Monitor site health, rankings, and organic traffic performance
 
 
 
 
 
 
 Platforms &amp; CMS Experience (Required)
 
 
 <ul>
 <li>
 
 WordPress
 
 (themes, plugins, page builders, custom setups)
 </li>
 <li>
 
 Shopify
 
 (collections, product pages, Liquid limitations, SEO apps)
 </li>
 <li>
 
 Webflow
 
 (CMS structure, SEO settings, custom code)
 </li>
 <li>
 Familiarity with other CMS or headless setups is a plus
 </li>
 </ul>
 
 
 
 
 
 Analytics &amp; Tracking
 
 
 
 &bull; Strong working knowledge of:
 
 
 
 Google Analytics (GA4)
 
 
 
 
 Google Tag Manager
 
 
 
 
 Google Search Console
 
 
 
 &bull; Set up and validate
 
 conversion tracking
 
 , events, and goals
 
 
 &bull; Troubleshoot tracking issues and ensure accurate data collection
 
 
 Technical Skills
 
 
 &bull; Understanding of:
 
 
 HTML, CSS, and basic JavaScript (for SEO diagnostics)
 
 
 Server responses, status codes, and log files
 
 
 &bull; Experience with:
 
 
 XML sitemaps and robots.txt
 
 
 Canonicals, hreflang, pagination, and faceted navigation
 
 
 &bull; Familiarity with SEO tools (e.g., Screaming Frog, Ahrefs, SEMrush, PageSpeed Insights)
 
 
 
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 2+ years of hands-on
 
 technical SEO experience
 
 </li>
 <li>
 Proven experience improving organic traffic through technical optimizations
 </li>
 <li>
 Strong problem-solving and analytical skills
 </li>
 <li>
 Ability to explain technical issues clearly to non-technical stakeholders
 </li>
 </ul>
 
 
</div>

SEO (Technical)

AMETEK

<div>
 Reporting to the Marketing Director, the SEO Specialist is responsible for for developing and implementing effective search engine optimization strategies to improve our website&rsquo;s visibility, drive organic traffic, and enhance user engagement. This role will also involve researching topics for marketing content, including competitor research.
 
 
 
 Responsibilities
 
 
 
 The SEO Specialist is responsible for:
 
 
 <ul>
 <li>
 Conducting keyword research and analysis to identify growth opportunities.
 </li>
 <li>
 Optimizing website content, landing pages, and blog posts for search engines.
 </li>
 <li>
 Performing technical SEO audits and implement fixes (e.g., site speed, mobile usability, crawl errors).
 </li>
 <li>
 Monitoring and analyzing SEO performance using tools like Google Analytics, Google Search Console, and Ahrefs
 </li>
 <li>
 Collaborating with content creators to ensure SEO best practices are followed.
 </li>
 <li>
 Building high-quality backlinks through outreach and partnerships.
 </li>
 <li>
 Researching competitors and report insights
 </li>
 <li>
 Researching and suggesting topics for blog and social media content according to industry trends and questions
 </li>
 <li>
 Staying up-to-date with the latest SEO trends, algorithm updates, and best practices.
 </li>
 <li>
 Preparing regular performance reports and present insights to stakeholders.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Education &amp; experience:
 </li>
 <ul>
 <li>
 3+ years of experience as an SEO Specialist or similar role.
 </li>
 </ul>
 </ul>
 
 
 <ul>
 <li>
 Professionnal knowledge &amp; abilities:
 </li>
 <ul>
 <li>
 Fluent in English
 </li>
 <li>
 Strong understanding of search engine algorithms and ranking methods.
 </li>
 <li>
 Proficiency in SEO tools such as Google Analytics, Google Search Console, and Ahrefs
 </li>
 <li>
 Skilled in identifying content gaps and opportunities by evaluating top-performing competitor content.
 </li>
 <li>
 Proven experience conducting competitive SEO analysis to identify strengths, weaknesses, and opportunities in competitor strategies.
 </li>
 <li>
 Familiarity with HTML, CSS, and JavaScript as they relate to SEO.
 </li>
 <li>
 Excellent analytical, organizational, and communication skills.
 
 </li>
 </ul>
 </ul>
 
 About Us
 
 
 
 CAMECA is a world leading supplier of microanalytical and metrology instrumentation for research and process control. Our instruments measure elemental and isotopic composition in materials down to atomic resolution and equip government and university labs as well as high-tech industrial companies around the world. CAMECA is also at the forefront of ion and electron source technology with TES - Polygon Physics, the most compact ECR source in the world.
 
 
 AMETEK, Inc. is a leading global provider of industrial technology solutions serving a diverse set of attractive niche markets with annual sales over $7.0 billion.
 
 
 AMETEK is committed to making a safer, sustainable, and more productive world a reality. We use differentiated technology solutions to solve our customers&rsquo; most complex challenges. We employ 21,000 colleagues, in 35 countries, that are grounded by our core values: Ethics and Integrity, Respect for the Individual, Inclusion, Teamwork, and Social Responsibility. AMETEK (NYSE:AME) is a component of the S&amp;P 500. Visit www.ametek.com for more information.
</div>

SEO Specialist (India)

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