Jobiba hiring network

Data Analytics Partner Jobs

8,119 active opportunities · Updated for October 2026

Fresh results

15 shown

Explore current data analytics partner jobs. Use filters to narrow by work mode, employment type, experience and date posted.

MongoDB is growing its team in Sydney, focusing on building intelligent tools that help customers understand and modernise their application codebases. The Application Modernisation Platform (AMP) guides customers through the entire journey of modernising their applications — from legacy relational platforms to modern, scalable systems built on MongoDB. The App Analysis & Modelling team owns the critical first stage of this journey: building the context that powers everything downstream. The team builds code analysis tools that construct code dependency graphs and generate deep insights for codebases, giving customers a clear understanding of their existing applications before transformation begins. The team also designs schema recommendation engines that analyse signals such as existing relational schemas and query patterns to inform data modelling decisions. Our work sits at the intersection of analysis, data modelling, and AI — helping developers make confident, data-driven decisions as they transition to MongoDB. We are looking for a Senior Software Engineer who is passionate about building scalable backend systems and applications. As we expand our use of AI to power smarter analysis and recommendations, the ideal candidate will bring strong backend engineering fundamentals with the ability to contribute across the full stack. You will collaborate closely with product management and other engineering teams to design and deliver cutting-edge features that guide customers through complex modernisation journeys. We are looking to speak to candidates who are based in Sydney for our hybrid working model. The ideal candidate will have 5+ years of commercial software development experience with strong proficiency in Python and/or Java Extensive Experience designing and building scalable, high-performance APIs and backend services Solid understanding of relational data modelling and SQL (Oracle, PostgreSQL, MySQL, or similar), including schema design and query opti

typescriptpythonjava
View job →
I
Instacart
📍 United States• Full-time• Remote• From $265K/yr
1mo ago

We're transforming the grocery industry At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers. Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table. Instacart is a Flex First team There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work. Overview Instacarts Data Infrastructure organization builds and operates the systems that power our company’s data ecosystem, including a modern open data lakehouse on Apache Iceberg, a multi-engine compute platform for stream and analytical workloads, and self-serve tooling that helps Product, Data Science, ML, Ads, Finance, and engineering teams move fast with data. We’re looking for a Staff Software Engineer, Data Infrastructure to join our Data Governance and Foundations Team. In this role, you’ll serve as a senior technical leader owning the architecture and delivery of our open lakehouse foundation, governance and access patterns, and multi-engine compute strategy—balancing today’s reliability with the next three to five years of scale, maturity, and cost efficiency. You’ll collaborate closely with engineering leadership and stakeholders across Data Science,

REMOTEpythonsqlaws
View job →
L
Lyft
📍 Toronto• Full-time• From C$172K/yr
1mo ago

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Lyft connects people to transportation to change the way we live and get around our communities. We are looking for product managers who bring exceptional creative and analytical skills to drive forward a best in class product. Product management at Lyft leads the integration of engineering, data science, and design to achieve the company's vision for reinventing transportation. We are looking for entrepreneurial and passionate Product Managers to innovate and execute across a rapidly growing, fast paced company and industry from our Toronto office. Every great support experience depends on the person behind it having the right tools, context, and intelligence to solve the problem in front of them. The Platform & Data teams build the tools our human support agents work in every day—and own the data that tells Lyft, and the world, what our customers are actually experiencing. As AI rapidly changes what's possible, we're reinventing how agents work: pairing them with copilots and AI that surface the right answer instantly, take on repetitive work, and raise the quality and consistency of every interaction. At the same time, we're building the data foundation that turns millions of support contacts into an accurate, trusted view of issue types and trends—used inside the team, across the company, and in what we report externally. This role owns that mandate end to end: setting the vision and strategy, and driving execution on the hardest problems across both the platform and its data. Responsibilities: Own the vision, strategy, and multi-quarter roadmap for Lyft's agent platform and the data that powers customer care & safety reporting Define and drive how AI and copilot capabilities make agents more efficient and raise the quality and consistency of their work Lead execution on the most complex,

aigorust
View job →

Senior Malware Analyst (Media, Malware, and Analysis – MMA) US CITIZEN ONLY Job Type Full-time Location Annopolis Junction, MD Clearance Requirement TS/SCI with CI polygraph Position Description The Senior Malware Analyst provides advanced technical expertise in malware analysis, digital forensics, and cyber threat intelligence in support of USCYBERCOM cyberspace operations. This role directly supports operations across USCYBERCOM J3, Cyber National Mission Force (CNMF), and Joint Task Force-Ares (JTF-ARES), delivering critical insights into adversary tactics, techniques, and procedures (TTPs) targeting the Department of Defense Information Network (DODIN) and associated mission systems. The analyst performs deep technical analysis of malicious code, compromised systems, and digital media to identify threats, develop mitigation strategies, and enhance operational situational awareness. This position contributes to mission assurance, defensive cyberspace operations (DCO), and offensive cyberspace operations (OCO) by enabling timely, actionable intelligence and supporting enterprise cyber defense and exploitation capabilities. Key Responsibilities Conduct static and dynamic malware analysis , reverse engineering, and forensic examination of compromised systems and digital media to identify adversary TTPs and intrusion artifacts. Perform media exploitation and forensic analysis , including extraction and analysis of malicious files, logs, and system artifacts across Windows, UNIX/Linux, and network environments. Develop and disseminate technical intelligence reports, threat briefs, and executive summaries to support operational decision-making and leadership awareness. Identify and develop indicators of compromise (IOCs) , signatures, heuristics, and MD5 hash repositories to support detection and mitigation strategies. Analyze and correlate cyber threat intelligence (all-source, SIGINT, and technical data) to identify patterns, anomalies, and emerging thr

gitlinuxai
View job →
S
20 days ago

Database Migration Engineer JD We are looking for a hands-on Database Migration Engineer with experience in large-scale enterprise database migrations and Migration Factory environments. Key Responsibilities Execute migrations from Sybase ASE / IBM DB2 to PostgreSQL / Amazon Aurora PostgreSQL / SingleStore . Perform migration assessment, schema conversion, data validation, reconciliation, and performance testing . Execute database cutover, rollback, production go-live, and post-migration stabilization . Troubleshoot migration issues and independently execute migration runbooks across migration waves. Coordinate with application, infrastructure, cloud, and engineering teams . Perform database administration, performance tuning, backup/recovery, and optimization . Develop migration documentation, runbooks, status reports, and operational procedures. Ensure data integrity, availability, security, and compliance throughout the migration lifecycle. Must-Have Skills Sybase ASE + IBM DB2 + PostgreSQL Amazon Aurora PostgreSQL + AWS Hands-on database migration experience Database administration & performance tuning Shell / Python / PowerShell scripting and automation Strong troubleshooting and analytical skills Ability to independently manage end-to-end database migration activities Note: By submitting your application, you consent to being contacted by our Talent Acquisition team via phone call, email, SMS, WhatsApp, or other communication channels regarding your application and relevant career opportunities.

pythonpostgresqlaws
View job →
Q
1mo ago

Our mission and customers: We are creating the freedom for SMEs to succeed by delivering Europe's leading finance workspace with banking at its core, augmented by financial tools. We are proud to be rated 4.8 on Trustpilot, based on 55,000+ reviews. Our culture puts customer satisfaction at the core of what we do, as proven by our Net Promoter Score of 75 (more about our culture here). Our journey: Founded in 2017 by Alexandre and Steve, Qonto has grown to 1,600+ Qontoers serving over 600,000+ customers across 8 European countries. We have been profitable since 2023, and we are just getting started. Our beliefs: We hire for skills and potential. With 80+ nationalities, 45% women, of which 56% of women in our leadership team, diversity isn't a program; It's who we are. We've built a discrimination-free hiring process because the best teams are built on merit. AI at Qonto: AI is deeply embedded in how we work (here) - Every Qontoer gets unlimited access to the best AI tools. We want people who experiment without waiting for permission, push AI beyond the obvious, know when to trust it, and when to question it. ------------------------------------------------------------------------------------------------------ Join us as a Site Reliability Engineer on our Storage team to keep the databases Qonto runs on resilient, safe, and always available. You'll operate and improve our banking-grade storage infrastructure — PostgreSQL, Redis, Kafka and Elasticsearch — and help make it self-serve for backend teams, under the guidance of Damien, our Storage Engineering Manager. ➡️ What you'll do Operate and safeguard critical storage infrastructure: You'll run PostgreSQL, Redis, Kafka and Elasticsearch in production, keeping banking-grade data safe and available. Own incident response and root-cause analysis: You'll be the last line of defense when a hard query or performance problem needs solving. Build our banking-license compliance roadmap: You'll define and prioritize backup a

postgresqlredisai
View job →

Cost Estimation Executive ensures accurate and competitive project cost estimation and analysis through thorough assessment of bid documents, site conditions, and material availability. Collaborate effectively with cross-functional teams to gather necessary data and support vendor management activities. Utilize technical expertise to apply industry advancements and implement innovative cost-saving measures, while maintaining meticulous documentation and adherence to quality and safety standards. Source: Adani Group | Job ID: 54945

GR
24 days ago

Description: Graviton is a privately funded quantitative trading firm striving for excellence in financial markets' research. We are seeking a Quant Analyst - Risk for our team in Gurugram. Graviton trades across a multitude of asset classes and trading venues using a gamut of concepts and techniques ranging from time series analysis, filtering, classification, stochastic models, pattern recognition to statistical inference analysing terabytes of data to come up with ideas to identify pricing anomalies in financial markets. As a Quant Analyst - Risk you will be responsible Work as a team with senior traders to operate and implement/improve our automated trading strategies. Analysing production trades and developing ideas to improve our trading strategies. Implement monitoring tools which highlight potential issues in the production strategies. Write comprehensive and scalable scripts in both C++ and python analysing production strategies for risk attribution, performance break-ups along various buckets and so on. Build ‘cool’ scalable post-trade systems analysing multitude of statistics across all production strategies. Implementing tools for analysing Market Data centrally across various exchanges. Managing deployments and release cycle, with working along with a senior trader. Requirements : Possess a degree in a highly analytical field, such as Engineering, Mathematics, or Computer Science from top-ranked universities 3+ years of experience in Python, Shell/Bash scripting. Basic knowledge of Linux and shell command-line tools Basic programming and scripting (Python/Shell) skills Strong problem-solving, and analytical skills Excellent communication skills Have a strong work ethics Mentorship experience in guiding junior developers. Benefits: Our open and collaborative work culture gives you the freedom to innovate and experiment. Our cubicle free offices, non-hierarchical work culture and insistence to hire the very best creates a melting pot for great idea

pythonlinuxc++
View job →

NVIDIA is looking for a Commodity Manager/Market Analysis Manager for Substrates Commodity Management. Ideal candidate will own strategic sourcing, market analysis, and commodity management of substrates and associated raw materials supply chain. This position develops, directs, and influences the global sourcing and commodity strategies that deliver significant value in the supply chain through sourcing strategies, supply assurance, component quality, and gross margin improvements. What you’ll be doing: This role is a critical part of NVIDIA product development process and is responsible for formulating, communicating and carrying out the substrates commodity sourcing strategy for raw materials that go into substrates fabrication. This role needs to have solid knowledge of the substrates supply chain and industry and should be able to perform market analysis and triangulate with industry reports. They must establish strong internal relationships with NVIDIA cross functional teams. Responsibilities include: Analyze market research data from external sources and connect data with knowledge of industry. Build cross-functional alignment with internal teams (engineering, planning) to identify commodity sourcing strategies with the supply base capable of meeting NVIDIA business segment requirements for Substrates Supply Chain. Develop and handle supplier relationships and conduct business reviews that improve suppliers value, performance, and account investments through aligned roadmaps Accountable for component supply assurance and inventory flexibility programs that increase flexibility and minimize liabilities Deliver a supplier risk management system, BOM risk reduction solutions, materials risk mitigation strategies and maintaining data integrity to ensure supply resiliency. Resolve impediments to production readiness and to support in execu

supply chain
View job →
D
Datadog
📍 New York• Full-time• From $73K/yr
1mo ago

Datadog is looking for a data-driven Associate Growth Marketing Manager to own the day-to-day execution, strategy, and optimization of our paid LinkedIn campaigns. In this role, you’ll be responsible for scaling LinkedIn ads that drive measurable results across global markets, with a strong focus on efficiency. This is an exciting opportunity for someone who combines analytical rigor with creative instincts, thrives in a performance-driven environment, and wants to deepen their expertise in paid media within a high-growth B2B company. At Datadog, we place value in our office culture - the relationships and collaboration it builds, and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Manage campaign setup, budget allocation, and pacing, making data-informed decisions to drive high-quality, efficient leads and strong downstream performance Own campaign performance reporting and analysis Collaborate cross-functionally to promote products, webinars, events, and content across regions on LinkedIn and other digital channels (e.g., Reddit, Meta) Continuously test new audiences, bid strategies, messaging, creative, and landing pages to increase learning velocity and performance over time Who You Are: 2+ years of hands-on, in-platform experience managing LinkedIn Ads 3+ years working in marketing, ideally in a B2B or high-growth tech environment Comfortable manipulating and analyzing large datasets in Excel/Sheets, identifying trends, and translating insights into clear recommendations Experience with A/B testing, landing page optimization, and creative iteration Strong written and presentation skills, with the ability to clearly explain analyses and recommendations to stakeholders via PowerPoint/Slides Curious, proactive, and motivated by driving results Datadog values people from all walks of life. We understand not everyone will meet all the above qualificatio

M
Mongodb
📍 Dublin• Full-time
1mo ago

The observability market is shifting from surfacing data to delivering answers. MongoDB is looking for a Staff Product Manager to lead that shift for database users, owning the strategy that takes customers from raw telemetry to AI-powered diagnostics and autonomous remediation, so developers can focus on building great applications instead of managing infrastructure. You will define how MongoDB turns raw telemetry into actionable intelligence, set the vision for AI-powered root cause analysis and proactive recommendations, and shape what best-in-class database observability looks like at global scale. The ideal candidate has experience shipping products that deal with data at scale, can engage deeply with senior engineering on technical architecture, and knows how to balance long-term platform investment against near-term customer value. We are looking to speak to candidates who are based in Dublin for our hybrid working model. What you'll do Define the vision, strategy, and multi-year roadmap for MongoDB observability, balancing the needs of developers, ops teams, enterprise customers, and internal engineering teams Help shape the next generation of AI-powered and agentic observability, including intelligent anomaly detection, automated root cause analysis, and proactive recommendations that help customers resolve issues before they escalate Own product strategy for experiences that span database health, performance diagnostics, alerting, log analysis, and data visualization, creating a coherent observability journey rather than a collection of disconnected tools Identify high-impact opportunities across the observability stack, from how customers monitor and understand their deployments to how MongoDB can reduce the operational burden of managing a database fleet at scale Lead customer discovery with developers, DBAs, and enterprise teams; turn qualitative and quantitative insights into clear product decisions that reduce time spent managing the database and incr

reactmongodbaws
View job →
E
18 days ago

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE Everpure's global supply chain runs on knowing exactly what material is where, and getting the next shipment in before anyone notices it was tight. This role sits at the point where inventory analysis, purchasing execution, and S&OP meet. You'll manage the purchase order lifecycle with contract manufacturers, rebalance inventory across global hubs before excess turns into write-off, and produce the numbers that planning decisions get made on. It's a hands-on seat with visibility across the full end-to-end supply chain, working daily with Planning, Logistics, Warehouse, and Finance. WHAT YOU'LL DO Own inventory health across Everpure's global hubs; track position against DOH, turns, and safety stock targets, root-cause imbalances and slow-moving stock, and drive site-to-site balancing before material lands on the E&O report Run the purchase order lifecycle end to end with contract manufacturers and suppliers: release POs against planning signals, hold suppliers to their commits, expedite and de-expedite as conditions change, and resolve delivery and quantity discrepancies so production is never waiting on parts Supply the inventory position, risk, and gap analysis that S&OP and monthly inventory reviews are built on, and follow through on the actions those reviews generate Keep dashboards, ERP records, and reporting accurate enough that Planning, Logistics, and Finance can act on them without re-checkin

aiSAPExcel
View job →
E
24 days ago

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE As a Technical Services Engineer Representative at Everpure, you will work on problems of diverse scope where analysis will include hardware, software, and environmental factors within our Product lines. Our Support Engineers utilize their deep technical expertise to troubleshoot customer issues and resolve them. Ability to perform implementation work such as Software and Hardware upgrades and RMA dispatch. Our culture is built on Persistence, Creativity, Teamwork, Ownership, and Customer First. You will be expected to live these values every day while collaborating closely with peers across Support, Engineering, and the field. WHAT YOU'LL DO Own, troubleshoot, and resolve customer technical issues across all severity levels using collaboration and troubleshooting best practices. Proactively understand customer requirements and expectations to deliver effective solutions. Communicate with customers in a clear, concise, and professional manner across all interactions. Create and maintain knowledge base (KB) articles and FAQs for both internal and customer facing use. Manage multiple support cases and priorities simultaneously in a fast paced environment. Act as a customer advocate by driving issues internally and representing the company externally. Collaborate within a team environment, contributing to shared goals while continuously learning and growing. Participate in weekend, public holiday, and on call s

awslinuxrest
View job →

Role: Application Reliability Engineer Location: Gurgaon Who we are Graviton Research Capital is a privately funded quantitative trading firm striving for excellence in financial markets research. We trade across a multitude of asset classes and trading venues using a diverse range of concepts, from time series analysis and stochastic models to machine learning and statistical inference. We analyse terabytes of data to identify pricing anomalies and drive innovation in financial markets. Key Responsibilities and Deliverables The ideal candidate will possess a strong background in technical support, with a passion for problem-solving and a commitment to excellence. As an Application Reliability Engineer, you will be responsible for: Monitor production services and respond quickly to alerts, incidents, and outages to ensure smooth operation and minimal downtime. Monitor trading systems and infrastructure., Triage issues across trading support services, databases, and infra; escalate and coordinate with the right owners, and drive root-cause analysis and ensure fixes are implemented for long-term stability. Serve as the first line of defense for trading operations. Proactively identify, address recurring issues, and build automation to reduce manual intervention. Improve observability by enhancing monitoring, logging, and alerting systems. Develop and maintain operational runbooks and SLO/SLA metrics. Eligibility and Required Skills Possess a degree in a highly analytical field, such as Engineering, or Computer Science 2-5 years of experience in Python, Shell/Bash scripting. Experience with Linux and shell/bash online tools. Hands-on experience with databases (SQL, NoSQL) Strong problem-solving and analytical skills Excellent communication skills Ability to remain calm and analytical under production pressure Good to have: Familiarity with monitoring/alerting stacks (Prometheus, Grafana, ELK, etc.) Familiarity with distributed messaging (Kafka) and caching systems (Red

pythonsqlredis
View job →

Company Description Quantum Systems Management Pvt. Ltd. (QSMPL) is a multidisciplinary consulting firm specializing in Sustainability, ESG, Social Compliance, Technical Audits, Environmental Assessments, Supply-Chain Security, and ISO Management Systems. The company works with organizations across manufacturing, textiles, leather, apparel, electronics, engineering, and global supply chains to strengthen responsible business performance and meet international standards. QSMPL supports clients with ESG strategy, reporting, governance, stakeholder engagement, and disclosure aligned with leading global frameworks. The firm also conducts comprehensive social, environmental, and techno-social assessments, including worker wellbeing, responsible sourcing, and chain-of-custody systems. Combining technical depth, industry experience, and a sustainability-focused approach, QSMPL helps organizations build compliant, efficient, and future-ready systems. Role Description It is a full-time, on-site role based in Kolkata. The role involves planning, coordinating, and executing social, technical, environmental, and ISO audits for clients across diverse industry sectors. The Project Executive will review documentation, collect and analyze data, conduct on-site assessments, interview stakeholders and workers, and prepare clear, concise audit reports and improvement plans. Responsibilities include supporting clients with compliance gap analysis, corrective action plans, ESG and sustainability-related documentation, and readiness for buyer, brand, and certification audits. The role also includes collaborating with internal teams, maintaining up-to-date knowledge of relevant standards and frameworks, and contributing to training, client presentations, and continuous improvement initiatives. Qualifications Strong understanding of compliance, social audits, and ethical trade frameworks (e.g., BSCI, SMETA, SA8000, SLCP, Higg FSLM, WRAP, ICS or similar). Knowledge of ISO and management

🔔

Get new data analytics partner jobs by email

Daily job updates · Unsubscribe anytime