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data analyst / data scientist

data scientist

KNAV US

<div>
 
 About KNAV
 
 
 
 KNAV is a global accounting and consulting firm experienced in all phases to offer a complete suite of public accounting services including set-up, accounting, assurance, taxation, international transfer pricing and business advisory services, as also to facilitate seamless business growth through mergers &amp; acquisitions. The workplace is rapidly evolving in the age of Industry 4.0. The emergence of new technologies like Robotics Process Automation and Artificial Intelligence has a consequential impact on the services that KNAV gives its end clients and how we choose to harness new technologies in our quest to boost the quality and cost of our services. To help improve our performance and add more value to our clients, KNAV endeavours to use the most advanced AI, machine learning, and analytics technologies. KNAV offers challenging work with potential to grow your career.
 
 
 
 Position Overview
 
 
 
 We are seeking a highly motivated
 
 Data Analyst / Data Scientist
 
 with
 
 2&ndash;4 years of experience
 
 in analytics and applied AI/ML. The role requires both independent ownership of analytical tasks and effective collaboration with finance, IT, and cross-functional teams.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Apply data analytics and machine learning techniques to solve business problems and support decision-making.
 </li>
 <li>
 Write optimized SQL queries and work with relational databases to extract, transform, and analyze data.
 </li>
 <li>
 Use data analytics and visualization tools to perform data cleaning, synthetic data generation, modelling, analysis, and visualization.
 </li>
 <li>
 Design, develop, and maintain dashboards and reports using Power BI and similar tools.
 </li>
 <li>
 Analyse large datasets to identify trends, patterns, and anomalies to support insights generation.
 </li>
 <li>
 Collaborate with finance and IT stakeholders to gather reporting requirements and convert them into analytical solutions or dashboards.
 </li>
 <li>
 Document analytical processes, insights, and project outcomes clearly and concisely.
 </li>
 <li>
 Support embedding of analytical reports into full-stack applications.
 
 
 </li>
 </ul>
 
 Technical Skills
 
 
 
 <ul>
 <li>
 Proficiency in SQL (MS SQL /MySQL/ PostgreSQL).
 </li>
 <li>
 Strong Python programming skills with experience in libraries such as NumPy, Pandas, Matplotlib, Scikit-learn and Random Forest.
 </li>
 <li>
 Hands-on experience with Power BI dashboard creation.
 </li>
 <li>
 Knowledge of MS Excel, Recharts library for React (nice to have).
 
 
 </li>
 </ul>
 
 Analytical &amp; Professional Skills
 
 
 
 <ul>
 <li>
 Strong analytical thinking and problem‑solving abilities.
 </li>
 <li>
 High attention to detail with the ability to detect data patterns and anomalies.
 </li>
 <li>
 Ability to work independently and as part of a team.
 </li>
 <li>
 Strong communication skills for working effectively with finance, IT, and business stakeholders.
 </li>
 <li>
 Ability to translate business requirements into technical solutions.
 </li>
 </ul>
</div>

Data Analyst / Data Scientist

Deutsche Telekom

<div>
 
 Deine Aufgabe
 
 
 
 Wir suchen einen
 
 Data Scientist
 
 mit 6-9 Jahren Erfahrung f&uuml;r die Entwicklung und Implementierung fortschrittlicher Machine-Learning-Modelle zur Reduzierung von Kundenabwanderung und Stornierungen. Diese Rolle beinhaltet die enge Zusammenarbeit mit funktions&uuml;bergreifenden Teams, um pr&auml;diktive L&ouml;sungen zu entwickeln, die gef&auml;hrdete Kunden vor Stornierungsereignissen identifizieren und proaktive Bindungsstrategien erm&ouml;glichen.
 
 
 Der Data Scientist spielt eine Schl&uuml;sselrolle bei der End-to-End-Modellentwicklung, von der Datenexploration und Feature-Engineering bis hin zum Training, der Evaluierung und dem Deployment von Modellen in der GCP-Umgebung. Die Arbeit umfasst die Nutzung gro&szlig;er Datenpipelines mit PySpark, die Entwicklung von ML- und Deep-Learning-Modellen mit Python und PyTorch sowie die Zusammenarbeit mit Data Engineering und Fachbereichen, um Produktionsreife und messbaren Gesch&auml;ftserfolg sicherzustellen.
 
 
 W&auml;hrend der anf&auml;ngliche Fokus auf der Reduzierung von Breitband-Auftragsstornierungen liegt, wird das zugrundeliegende ML-Framework so konzipiert, dass es zuk&uuml;nftige Anwendungen wie Kundenlebenszyklusmanagement, Upsell/Cross-Sell-Prognosen und Servicequali&auml;tsanalysen in verschiedenen Gesch&auml;ftsbereichen unterst&uuml;tzt.
 
 
 
 Aufgaben
 
 
 
 <ul>
 <li>
 Durchf&uuml;hrung von Datenexploration und Feature-Engineering auf gro&szlig;en strukturierten und unstrukturierten Datens&auml;tzen
 </li>
 <li>
 Aufbau und Bewertung pr&auml;diktiver ML- und Deep-Learning-Modelle zur Vorhersage von Kundenverhalten, einschlie&szlig;lich Customer Lifetime Value (CLV), Abwanderung und Konversionsneigung
 </li>
 <li>
 Zusammenarbeit mit Data-Engineering-Teams zur Entwicklung skalierbarer Datenpipelines auf Google Cloud Platform (GCP)
 </li>
 <li>
 Zusammenarbeit mit Produkt- und Engineering-Teams, um Datenmodelle und analytische Frameworks mit Gesch&auml;ftszielen abzustimmen
 </li>
 <li>
 &Uuml;bersetzung analytischer Erkenntnisse in umsetzbare Einsichten zur Unterst&uuml;tzung von Marketing- und Bindungsstrategien
 </li>
 <li>
 Beitrag zu MLOps-Praktiken f&uuml;r kontinuierliche Modellverbesserung und -bereitstellung
 </li>
 <li>
 Unterst&uuml;tzung weiterer datengetriebener Initiativen &uuml;ber die Stornierungsvorhersage hinaus, wie Personalisierung, Kundenbindung und Service-Analytik
 
 
 </li>
 </ul>
 
 Dein
 
 Profil
 
 
 
 
 Wir suchen einen erfahrenen
 
 Data Scientist/ML Engineer
 
 mit 6-9 Jahren Erfahrung zur Entwicklung fortschrittlicher Machine-Learning-Modelle f&uuml;r Kundenabwanderungsreduzierung und Bestellstornierungsvorhersage.
 
 
 
 Muss-Kriterien
 
 
 
 <ul>
 <li>
 6-9 Jahre Erfahrung in Data Science oder Machine Learning
 </li>
 <li>
 Erfahrung mit Datenexploration und Feature Engineering auf gro&szlig;en Datens&auml;tzen
 </li>
 <li>
 Kompetenz im Aufbau und der Evaluierung von pr&auml;diktiven ML- und Deep-Learning-Modellen
 </li>
 <li>
 Erfahrung mit Python f&uuml;r Machine-Learning-Entwicklung
 </li>
 <li>
 Erfahrung mit PyTorch f&uuml;r Deep-Learning-Modelle
 </li>
 <li>
 Kenntnisse in PySpark f&uuml;r umfangreiche Datenpipelines
 </li>
 <li>
 Erfahrung in der Arbeit mit Google Cloud Platform (GCP)
 </li>
 <li>
 F&auml;higkeit zur Zusammenarbeit mit funktions&uuml;bergreifenden Teams
 </li>
 <li>
 Erfahrung mit Modellen zur Vorhersage von Kundenverhalten (Churn, CLV, Conversion-Neigung)
 </li>
 <li>
 F&auml;higkeiten, analytische Erkenntnisse in umsetzbare Gesch&auml;ftseinblicke zu &uuml;bersetzen
 
 
 </li>
 </ul>
 
 
 &Uuml;ber uns
 
 
 
 Unternehmensvorstellung &ndash; T-Systems ICT India Pvt. Ltd.
 
 
 
 
 T-Systems Information and Communication Technology India Private Limited (T-Systems ICT India Pvt. Ltd.)
 
 ist ein zertifizierter Great Place To Work&reg;, der f&uuml;r seine starke mitarbeiterorientierte Kultur und sein Engagement f&uuml;r Mitarbeiterexzellenz anerkannt ist.
 
 
 Als hundertprozentige Tochtergesellschaft der T-Systems International GmbH ist T-Systems India in Pune und Bangalore t&auml;tig, mit einem dynamischen Team von &uuml;ber 4.200 Fachleuten, die weltweit hochwertige IT-Dienstleistungen f&uuml;r Konzernkunden erbringen.
 
 
 T-Systems India spielt eine Schl&uuml;sselrolle in dieser globalen Vision, indem es integrierte, ganzheitliche IT-L&ouml;sungen und branchenspezifische Software liefert, um die Transformation in verschiedenen Branchen voranzutreiben, darunter:
 
 
 <ul>
 <li>
 Automobilindustrie
 </li>
 <li>
 Fertigung
 </li>
 <li>
 Logistik
 </li>
 <li>
 Transport
 </li>
 <li>
 Gesundheitswesen
 </li>
 <li>
 &Ouml;ffentlicher Sektor
 
 
 </li>
 </ul>
 Seit &uuml;ber 25 Jahren steht
 
 T-Systems International GmbH
 
 an der Spitze der digitalen Innovation, treibt den Fortschritt voran und f&ouml;rdert digitalen Optimismus. Als f&uuml;hrender europ&auml;ischer IT-Dienstleister und stolzer Teil der Deutschen Telekom liefert T-Systems transformative Digitalisierungsprojekte, gest&uuml;tzt auf tiefgreifende Expertise in:
 
 
 <ul>
 <li>
 Beratung
 </li>
 <li>
 Cloud
 </li>
 <li>
 KI
 </li>
 <li>
 Cybersicherheit
 </li>
 <li>
 Konnektivit&auml;t
 
 
 </li>
 </ul>
 Mit einer globalen Belegschaft von 26.000 Mitarbeitern in 26 L&auml;ndern setzen wir Branchenma&szlig;st&auml;be in Effizienz, Souver&auml;nit&auml;t, Sicherheit und Zuverl&auml;ssigkeit &ndash; und bef&auml;higen Organisationen, ihr volles digitales Potenzial zu entfalten.
 
 
 Mit einem Jahresumsatz von &uuml;ber 4,0 Milliarden EUR (2024) ist
 
 T-Systems einer der f&uuml;hrenden Partner f&uuml;r digitale Transformation in Europa
 
 , der sich der Gestaltung der Zukunft der Unternehmenstechnologie verschrieben hat.
 
 
 
 Informationen zur Bewerbung
 
 
 
 Bitte beachte: Betr&uuml;gerische Stellenangebote/Jobbetr&uuml;gereien werden immer h&auml;ufiger. Sei vorsichtig bei irref&uuml;hrenden Anzeigen und betr&uuml;gerischer Kommunikation, die im Namen von T-Systems "Angebotsschreiben" gegen eine Geb&uuml;hr ausstellen. Achte auf eine authentische T-Systems-E-Mail-Adresse - XYZ@t-systems.com .
 
 
 Bleib wachsam. Sch&uuml;tze dich vor Rekrutierungsbetrug!
 
 
 Um mehr zu erfahren, besuche: Betrugswarnung
</div>

Data Scientist (m/w/d)

Capco

<div>
 
 Job Title: Data Analyst
 
 
 
 
 About Us
 
 
 
 
 &ldquo;Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by
 
 
 Avtar &amp; Seramount
 
 
 . With our presence across 32 cities across globe, we support 100+ clients across banking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery.
 
 
 
 
 WHY JOIN CAPCO?
 
 
 
 You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry.
 
 
 
 MAKE AN IMPACT
 
 
 
 Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services.
 
 
 
 #BEYOURSELFATWORK
 
 
 
 Capco has a tolerant, open culture that values diversity, inclusivity, and creativity.
 
 
 
 CAREER ADVANCEMENT
 
 
 
 
 With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands.
 
 
 
 
 DIVERSITY &amp; INCLUSION
 
 
 
 
 We believe that diversity of people and perspective gives us a competitive advantage.
 
 
 
 MAKE AN IMPACT
 
 
 
 Number of Positions: 2
 
 
 
 
 Job Location: Pune, Hyderabad, Bangalore
 
 
 
 
 In This Role, You Will
 
 
 
 <ul>
 <li>
 Support the delivery of complex transformation program development within data portfolio.
 </li>
 <li>
 Work within agile multi-skilled teams to create world class products to serve our customer&rsquo;s needs.
 </li>
 <li>
 Perform the elicitation and analysis of business change, functional and non-functional requirements across a range of stakeholders, work with cross asset IT teams to interface those requirements and finally deliver a working reconciliation solution.
 </li>
 <li>
 Own and produce relevant analysis and modeling artefacts that enable development teams to develop working products.
 </li>
 <li>
 Understand the "user" journey end to end which goes beyond the "system&rdquo;.
 </li>
 <li>
 Provide advanced business knowledge and technical support for requirements development.
 </li>
 <li>
 Create/enhance logical and physical data models by adhering to the agreed standards, to fulfil both business as well as technical requirements and expectations.
 </li>
 <li>
 Undertake the metadata analysis which includes but not limited to naming of the logical entity and attributes and physical table and columns, definitions and appropriate data type and length etc.
 </li>
 <li>
 Create and maintain the data models.
 
 
 </li>
 </ul>
 
 To be successful in this role, you should meet the following requirements:
 
 
 
 <ul>
 <li>
 Strong Data Analysis and/or Data Modeling experience of 8-12 years.
 </li>
 <li>
 Strong financial domain and data analysis skills with experience covering activities like requirement gathering, elicitation skills, gap analysis, data analysis, effort estimation, reviews, ability to translate the high-level functional data or business requirements into technical solution, database designing and data mapping.
 </li>
 <li>
 Comprehensive understanding of the Data Modeling (conceptual, logical, and physical), create and deliver high-quality data models, by following agreed data governance and standards.
 </li>
 <li>
 Maintain quality metadata and data related artefacts which should be accurate, complete, consistent, unambiguous, reliable, accessible, traceable, and valid.
 </li>
 <li>
 Should be an individual contributor with good understanding of the SDLC &amp; Agile methodologies.
 </li>
 <li>
 A team player with self-starter approach, having a sense of ownership, should be a problem solver with solution-seeking approach and an ability to work in fast-paced and continuously changing environment.
 </li>
 <li>
 Excellent communication &amp; stakeholder management skills and should be capable of building rapport and relationships.
 </li>
 <li>
 Act as a liaison between business and technical teams to bridge any gaps and assist the business teams &amp; technical teams to successfully deliver the projects.
 </li>
 <li>
 Other Skills &amp; Tools: SQL, MS-Office tools, GCP Big Query, Erwin, Visual Paradigm (preferable).
 </li>
 </ul>
</div>

Data Analyst

Deloitte

<div>
 
 Summary
 
 
 
 
 Position Summary
 
 
 
 
 Artificial Intelligence &amp; Engineering
 
 
 
 AI &amp; Engineering leverages cutting-edge engineering capabilities to help build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions insights are powered by engineering for business advantage, helping transforming mission-critical operations.
 
 
 Join our AI &amp; Engineering team to help in transforming technology platforms, driving innovation, and helping help make a significant impact on our clients' success achievements. You&rsquo;ll work alongside talented professionals reimagining and re-engineering operations and processes that are could be critical to businesses.
 
 
 
 Position Summary
 
 
 
 
 Work you&rsquo;ll do:
 
 
 
 Lead discussions with business and functional analysts to understand requirements and assess integration impacts on business architecture. Prepare technical architecture and design, clarify requirements, and resolve ambiguities. Develop solutions in line with established technical designs, integration standards, and quality processes. Create and enforce technical design and development guides, templates, and standards. Facilitate daily scrum meetings, manage deliverables, and prepare weekly status reports for leadership review. Conduct detailed deliverable reviews and provide technical guidance to team members. Collaborate with onsite clients, coordinators, analysts, and cross-functional teams. Design templates or scripts to automate routine development or operational tasks.
 
 
 
 The team:
 
 
 
 AI &amp; Data offers a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offering helps clients innovate, and enhance their data, AI, and analytics capabilities, ensuring they can mature and scale effectively.
 
 
 AI &amp; Data professionals will work with our clients to:
 
 
 <ul>
 <li>
 Design and modernize large-scale data and analytics platforms including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud, edge and AI/ML technologies, platforms and methodologies for storage, processing
 </li>
 <li>
 Leverage automation, cognitive and AI based solutions to manage data, predict scenarios and prescribe actions
 </li>
 <li>
 Drive operational efficiency by managing and upgrading their data ecosystems and application platforms, utilizing analytics expertise and providing As-a-Service models to ensure continuous insights and enhancements.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Must Have Skills/Project Experience/Certifications:
 
 
 
 <ul>
 <li>
 3 - 10 years of hands-on experience in technology Consulting experience
 </li>
 <li>
 Experience developing Classes, OOPS, exception handling, parallel processing.
 </li>
 <li>
 Strong knowledge of DB connectivity, data loading, transformation, calculation.
 </li>
 <li>
 Concurrency and error handling data pipeline batch of size [1-10 gb].
 </li>
 <li>
 Ability to understand business requirements and translate them into technical requirements.
 </li>
 <li>
 Ability to design architecture of data pipeline for concurrent data processing.
 </li>
 <li>
 Familiar with creating/designing RESTful services and APIs.
 </li>
 <li>
 Familiar with application unit tests.
 </li>
 <li>
 Working with Git source control Service-orientated architecture, including the ability to consider integrations with other applications and services.
 </li>
 <li>
 Debugging application.
 
 
 </li>
 </ul>
 
 Good to Have Skills/Project Experience/Certifications:
 
 
 
 <ul>
 <li>
 Good Understanding of fundamental design principles behind a scalable application
 </li>
 <li>
 Good Understanding of accessibility and security compliance
 </li>
 <li>
 Familiarity with event-driven programming in Python
 </li>
 <li>
 Proficient understanding of code versioning tools (Git, Mercurial or SVN)
 </li>
 <li>
 Knowledge of PowerShell and SQL Server
 </li>
 <li>
 Good Knowledge of user authentication and authorization between multiple systems, servers, and environments
 
 
 </li>
 </ul>
 
 Education:
 
 
 
 BE/B.Tech/M.C.A./M.Sc (CS) degree or equivalent from accredited university
 
 
 
 Location:
 
 
 
 Bengaluru/Hyderabad/Pune/Chennai
 
 
 
 #AIE2026
 
 
 
 #AI&amp;Data2026
 
 
 
 Our purpose
 
 
 
 Deloitte&rsquo;s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities.
 
 
 
 Our people and culture
 
 
 
 Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ways of thinking, ideas and perspectives, and bring more creativity and innovation to help solve our clients&rsquo; most complex challenges. This makes Deloitte one of the most rewarding places to work.
 
 
 
 Professional development
 
 
 
 At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state-of-the-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India .
 
 
 
 Benefits To Help You Thrive
 
 
 
 At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially&mdash;and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you.
 
 
 
 Recruiting tips
 
 
 
 From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters.
 
 
 Requisition code: 322086
</div>

Python Data Engineer-Hyderabad,Bengaluru,Pune,Chennai

Turing

<div>
 
 
 About Turing:
 
 
 
 Based in San Francisco, California, Turing is the world&rsquo;s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&amp;L
 
 
 
 
 
 
 Role Overview:
 
 
 
 We are looking for experienced
 
 Data Analysts (MLE Bench)
 
 to contribute to benchmark-driven evaluation projects focused on real-world machine learning systems. This role involves hands-on analytical work with production-like datasets, metrics, and ML outputs to help evaluate, diagnose, and improve the performance of advanced AI systems.
 
 
 
 
 
 The ideal candidate is comfortable working at the intersection of data analysis and machine learning, with strong analytical rigor and the ability to work with real datasets and ML evaluation workflows.
 
 
 
 
 
 
 What does day-to-day life look like?
 
 
 <ul>
 <li>
 Analyze structured and unstructured datasets generated from
 
 ML training, inference, and evaluation pipelines
 
 .
 </li>
 <li>
 Define, compute, and validate
 
 metrics
 
 used to evaluate model performance and behavior.
 </li>
 <li>
 Investigate data distributions, model outputs, failure modes, and edge cases relevant to benchmark tasks.
 </li>
 <li>
 Write and run
 
 Python and SQL
 
 code to analyze data, create reports, and support evaluation workflows.
 </li>
 <li>
 Validate data quality, consistency, and correctness across datasets and experiments.
 </li>
 <li>
 Create clear, well-documented analytical artifacts and reproducible analysis workflows.
 </li>
 <li>
 Collaborate with ML engineers and researchers to design
 
 challenging, real-world evaluation scenarios
 
 for MLE Bench.
 </li>
 </ul>
 
 
 
 
 
 Requirements:
 
 
 <ul>
 <li>
 Minimum
 
 3+ years
 
 of experience as a
 
 Data Analyst or Analytics-focused Engineer
 
 .
 </li>
 <li>
 Strong proficiency in
 
 Python
 
 for data analysis.
 </li>
 <li>
 Solid experience with
 
 SQL
 
 and relational datasets.
 </li>
 <li>
 Experience analyzing
 
 ML outputs and evaluation metrics
 
 .
 </li>
 <li>
 Strong understanding of statistics and analytical reasoning.
 </li>
 <li>
 Ability to work with
 
 large, complex datasets
 
 and draw reliable insights.
 </li>
 <li>
 Experience writing
 
 clean, readable, and well-documented analytical code
 
 .
 </li>
 <li>
 Excellent spoken and written
 
 English communication skills
 
 .
 </li>
 </ul>
 
 
 
 
 
 Perks of Freelancing With Turing:
 
 
 <ul>
 <li>
 Work in a fully remote environment.
 </li>
 <li>
 Opportunity to work on cutting-edge AI projects with leading LLM companies.
 </li>
 </ul>
 
 
 
 
 
 Offer Details:
 
 
 <ul>
 <li>
 
 Commitments Required:
 
 At least 4 hours per day and minimum 20 hours per week with overlap of 4 hours with PST.
 </li>
 <li>
 
 Engagement Type:
 
 Contractor assignment (no medical/paid leave)
 </li>
 <li>
 
 Duration of Contract:
 
 3 months (adjustable based on engagement)
 </li>
 </ul>
 
 
 
 
 Know amazing talent? Refer them at turing.com/referrals, and earn money from your network.
 
</div>

Remote Data Analyst - 60736

Johnson & Johnson MedTech

<div>
 At Johnson &amp; Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at jnj.com.
 
 
 As guided by Our Credo, Johnson &amp; Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson &amp; Johnson, we respect the diversity and dignity of our employees and recognize their merit.
 
 
 
 Job Function
 
 
 
 Data Analytics &amp; Computational Sciences
 
 
 
 Job Sub Function
 
 
 
 Business Intelligence
 
 
 
 Job Category
 
 
 
 Professional
 
 
 
 All Job Posting Locations:
 
 
 
 Pune, Maharashtra, India
 
 
 
 Job Description
 
 
 
 
 Job Description- Sr. Analyst - Data &amp; Analytics
 
 
 
 We are seeking a highly motivated Sr Analyst to join our team of analytics experts in the MedTech Commercial Data &amp; Analytics team. The candidate will primarily work on shaping the data architecture, implement data engineering solutions and support data quality/management for global commercial data lake. This role is also responsible for operations and driving efficiencies. Candidate should be a strong team player and have a consultative approach to problem solving.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Engage and collaborate with business stakeholders to gather and analyze their requirements and translate them into technical specifications for data solutions.
 </li>
 <li>
 Design and construct effective and reliable data engineering solutions with end-to-end project responsibility by closely liaising with business analytics and visualization team
 </li>
 <li>
 Implement data quality checks and testing protocols to ensure the accuracy and reliability of data. Perform integration tests for data pipelines and frameworks, ensuring all elements are rigorously vetted prior to deployment
 </li>
 <li>
 Collaborate with data management teams to ensure right metadata management and data lineage
 </li>
 <li>
 Manage and own weekly, monthly and quarterly data operations activities with necessary due diligence; develop solutions to improve data quality
 </li>
 <li>
 Identify continuous improvement opportunities for the data solutions with focus on performance, scalability and maintainability
 </li>
 <li>
 Maintain high standards for insight generation, data quality, reporting, and timely project execution
 </li>
 <li>
 Communicate, at scale, through multiple mediums &ndash; presentations, dashboards, data-sets and more
 </li>
 <li>
 Maintain documentation on data architecture, solutions and processes
 
 
 </li>
 </ul>
 
 Minimum Qualifications
 
 
 
 <ul>
 <li>
 A Bachelors&rsquo; degree in computer science, engineering or equivalent is required
 </li>
 <li>
 5+ years working experience in any data engineering and analytics related roles
 </li>
 <li>
 5+ Years of advanced SQL skills
 </li>
 <li>
 2+ Years of Python development experience
 </li>
 <li>
 3+ years experience with Data Modeling
 </li>
 <li>
 Experience analyzing data to discover opportunities and address gaps independently.
 </li>
 <li>
 5+ years experience in custom ETL design, implementation and maintenance.
 </li>
 <li>
 Experience working with cloud platform (i.e. AWS, Azure, or similar)
 </li>
 <li>
 Experience with SQL performance tuning and E2E process optimization.
 </li>
 <li>
 Experience managing cloud infrastructures is preferred
 </li>
 <li>
 Exposure to data science landscape is a plus.
 </li>
 <li>
 Global experience a plus
 </li>
 <li>
 Proven ability to work collaboratively with colleagues across functional areas to deliver results
 </li>
 <li>
 Effective communication &amp; presentation skills. Growth mindset to learn across breadth and depth of technology stacks.
 
 
 </li>
 </ul>
 Johnson &amp; Johnson is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, or protected veteran status and will not be discriminated against on the basis of disability.
 
 
 
 Required Skills
 
 
 
 
 Preferred Skills:
 
 
 
 Advanced Analytics, Analytical Reasoning, Business Behavior, Business Intelligence (BI), Cross-Functional Collaboration, Data Analysis, Data Integration, Data Modeling, Data Privacy Standards, Data Reporting, Detail-Oriented, Management Systems Implementation, Problem Solving, Process Oriented, Project Management, Statistical Analysis Systems (SAS) Programming, Workflow Analysis
</div>

Sr. Analyst - Data & Analytics

JumpCloud

<div>
 
 
 All roles at JumpCloud are Remote unless otherwise specified in the Job Description.
 
 
 
 
 
 About JumpCloud
 
 
 JumpCloud&reg; delivers a unified open directory platform that makes it easy to securely manage identities, devices, and access across your organization. With JumpCloud, IT teams and MSPs enable users to work securely from anywhere and manage their Windows, Apple, Linux, and Android devices from a single platform. JumpCloud is IT Simplified.
 
 
 
 
 
 
 
 
 
 
 Do you enjoy solving challenging problems using the latest technologies within a great team? Is knowing your work will be highly visible and mission critical a key component for the next step in your career? At JumpCloud, we&rsquo;re looking for best-in-class talent to help define the future of modern identity and device management from the ground up.
 
 
 
 
 
 
 
 About the Role:
 
 
 JumpCloud is looking for
 
 
 an experienced Senior Software Engineer
 
 (L4) to join our growing Security Engineering organization.
 
 
 
 
 
 
 As the identity landscape evolves, we are expanding our capabilities in
 
 
 Identity Threat Detection &amp; Response (ITDR
 
 ). You will be a key technical leader in building the next generation of our active defense platform&mdash;ingesting high-volume risk signals, analyzing threats in real-time, and automating the response to stop attacks. This role sits at the intersection of
 
 
 Distributed Systems, Data Engineering, and Cybersecurity
 
 . You will bridge the gap between "Raw Data" and "Actionable Intelligence," building the infrastructure that powers our future Machine Learning models and empowers SOC analysts to hunt threats.a
 
 
 
 
 
 
 What you&rsquo;ll be doing:
 
 <ul>
 <li>
 
 Technical Leadership &amp; Architecture:
 
 Lead the high-level architecture and low-level design of new Go microservices. You will break down complex requirements, mentor other engineers, and collaborate with senior technical leaders to manage technical debt and feature detailing
 </li>
 <li>
 
 Build the Decision Engine:
 
 Architect the services that consume data from our risk engine (Kafka) and determine the appropriate system response in milliseconds. You will build modular components that can be shared internally
 </li>
 <li>
 
 "Think Like a SOC Analyst"
 
 : You will design API responses and data structures that provide deep context (scores, lineage, threat details) so IT Admins can investigate incidents without guessing
 </li>
 <li>
 
 Prepare the Runway for ML:
 
 &nbsp; Utilise Machine learning concepts to harness the inhouse data to build solutions for IT Admins.&nbsp;&nbsp;
 </li>
 <li>
 
 Operational Excellence:
 
 Own your services in production. You will define SLIs/SLOs, manage database performance (Postgres/Redis), ensure high availability, and perform upgrades to keep up with modern security best practices
 </li>
 <li>
 
 Strategy &amp; Collaboration:
 
 Partner with the Platform Engineering team to define data contracts. You will help shape the future of our Identity Management services roadmap by participating in planning conversations with Product Managers
 
 </li>
 </ul>
 
 
 
 
 We&rsquo;re looking for:
 
 <ul>
 <li>
 
 8+ years
 
 of backend software development experience
 </li>
 <li>
 
 Expert Proficiency in Go (Golang)
 
 : You understand concurrency patterns, memory management, and how to build services that scale
 </li>
 <li>
 
 Event-Driven Architecture
 
 : Proven experience building systems that consume and produce messages via Kafka, Kinesis, or SQS
 </li>
 <li>
 
 Stream Processing:
 
 Experience with Apache Flink or Spark Streaming
 </li>
 <li>
 
 Database Fluency:
 
 Experience modeling data in both Relational (Postgres) and NoSQL (Redis/DynamoDB) stores
 </li>
 <li>
 
 Cloud Native:
 
 Deep experience with AWS services (Lambda, ECS/EKS) and Infrastructure-as-Code (Terraform)
 </li>
 <li>
 
 ML Infrastructure Interest
 
 : You don't need to be a Data Scientist, but you have a working interest in MLOps or Model Serving. You are excited about building the "pipes" that put ML models into production
 
 </li>
 </ul>
 
 
 
 
 Bonus Points:
 
 <ul>
 <li>
 
 SOC / SIEM Empathy
 
 : Experience building tools for Security Operations Centers. You understand concepts like "False Positive Fatigue," "Triage," and "Incident Context
 </li>
 <li>
 
 Security &amp; Identity
 
 : Exposure to authentication standards (OAuth, OIDC, SAML) or experience building logic for Fraud/Risk engines
 </li>
 <li>
 
 Integrations:
 
 Experience integrating with third-party threat feeds (e.g., GeoIP, IP Reputation)
 
 </li>
 </ul>
 
 
 
 
 
 
 
 
 
 
 
 
 Where you&rsquo;ll be working/Location:
 
 
 JumpCloud is committed to being Remote First, meaning that you are able to work remotely within the country noted in the Job Description.
 
 
 
 
 
 
 
 You must be located in and authorized to work in the country noted in the job description to be considered for this role.&nbsp;
 
 
 
 
 
 Please note: There is an expectation that our engineers participate in on-call shifts. You will be expected commit to being ready and able to respond during your assigned shift, so that alerts don't go unaddressed.
 
 
 
 
 
 
 
 Language:
 
 
 JumpCloud has teams in 15+ countries around the world and conducts our internal business in English. The interview and any additional screening process will take place primarily in English. To be considered for a role at JumpCloud, you will be required to speak and write in English fluently.&nbsp; Any additional language requirements will be included in the details of the job description.
 
 
 
 
 
 
 
 Why JumpCloud?
 
 &nbsp;
 
 
 
 If you thrive working in a fast, SaaS-based environment and you are passionate about solving challenging technical problems, we look forward to hearing from you! JumpCloud is an incredible place to share and grow your expertise! You&rsquo;ll work with amazing talent across each department who are passionate about our mission. We&rsquo;re out of the box thinkers, so your unique ideas and approaches for conceiving a product and/or feature will be welcome. You&rsquo;ll have a voice in the organization as you work with a seasoned executive team, a supportive board and in a proven market that our customers are excited about.&nbsp;&nbsp;
 
 
 
 
 &nbsp;
 
 
 
 
 One of JumpCloud's three core values is to &ldquo;Build Connections.&rdquo; To us that means creating " human connection with each other regardless of our backgrounds, orientations, geographies, religions, languages, gender, race, etc. We care deeply about the people that we work with and want to see everyone succeed." - Rajat Bhargava, CEO
 
 
 
 
 &nbsp;
 
 
 
 
 Please submit your r&eacute;sum&eacute; and brief explanation about yourself and why you would be a good fit for JumpCloud.&nbsp; Please note JumpCloud is not accepting third party resumes at this time.&nbsp; &nbsp;
 
 
 
 
 &nbsp;
 
 
 
 
 JumpCloud is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
 
 
 
 
 
 
 
 
 Scam Notice:
 
 
 
 
 
 Please be aware that there are individuals and organizations that may attempt to scam job seekers by offering fraudulent employment opportunities in the name of JumpCloud. These scams may involve fake job postings, unsolicited emails, or messages claiming to be from our recruiters or hiring managers. Please note that JumpCloud will never ask for any personal account information, such as credit card details or bank account numbers, during the recruitment process. Additionally, JumpCloud will never send you a check for any equipment prior to employment.
 
 
 
 
 
 
 
 All communication related to interviews and offers from our recruiters and hiring managers will come from official company email addresses (@jumpcloud.com) and will never ask for any payment, fee to be paid or purchases to be made by the job seeker. If you are contacted by anyone claiming to represent JumpCloud and you are unsure of their authenticity, please do not provide any personal/financial information and contact us immediately at recruiting@jumpcloud.com with the subject line "Scam Notice"&nbsp;
 
 
 
 
 &nbsp;
 
 
 
 
 #BI-Remote
 
 
 
 
 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, transcribing or summarizing interviews, and assessing responses. These tools assist our recruitment team but do not replace human judgment in hiring decisions, which are ultimately made by humans. Please see our Privacy Policy[hyperlink] for more information about our personal data practices.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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Senior Software Engineer, ITDR - India

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