Business Systems Analyst Jobs

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. As an AI Reimagination Engineer in Micron's Generative AI Center of Excellence (GenAI COE), you have an outstanding chance to transform how businesses function. You will partner with different business areas to break down large, manual, multi-step processes and redesign them into effective, autonomous systems. This position combines process reimagination with AI systems engineering, making you a key part of the transformation journey. You will collaborate closely with the GenAI COE, IT architecture, security, and project teams. You will lead projects from the initial redesign to the final build, delivering solutions that business teams can adopt and scale. Responsibilities: Decompose end-to-end processes: Map current-state flows, quantify effort and risk, and lead eliminate/simplify/agentify analysis before automation. Architect the agentic solution: Build future-state flows and AI architecture, including task and agent decomposition, orchestration patterns, tool and data access, memory and context strategy, and human-in-the-loop controls. Translate inventions into buildable solutions by developing agent workflows, composing prompt and context strategies, MCP/connector and integration requirements, and evaluation criteria. Follow Micron's “Secure by Design”

Job Overview Wargaming is looking for a Manual QA Engineer to join the Global IT Products department and help ensure the quality of internal corporate systems and services. You will work with a variety of products, from web applications to complex microservices and integrations, applying testing approaches and techniques based on the specific needs of each product. The role offers an opportunity to work with complex business logic, large datasets, and different types of internal systems while taking ownership of the quality of products. We also value initiative: while the core tools and approaches are defined by each product's needs, we encourage QA Engineers to identify opportunities for improvement and suggest additional tools or practices when they can bring value to the product and team. Reports to Head of Quality Assurance What will you do Independent implementation of the full cycle of project testing (functional testing of web applications, microservices, API) Product testing without ready requirements Creation and maintenance of test documentation Acceptance of builds before releases, quality control of defect fixes Monitoring of reports on errors and failures Analysis and testing of project/product requirements Evaluation of testing work Participation in team meetings What are we looking for? 2+ years of experience as a QA Engineer Strong analytical skills and experience working with big datasets, calculations, corporate applications with complex business logic Experience in testing web applications and microservices Strong knowledge of testing methodologies and software development life cycles Understanding of client-server architecture principles Experience in writing test cases and checklists Experience with bug and task tracking, documentation, and test case management tools (Jira, Confluence, TestRail) Experience working with databases (PostgreSQL, MS SQL Server) and SQL Good Excel skills and experience working with data, calculations, and spread

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! About The Role Help bring Cohere's enablement strategy to life for our field teams in EMEA. This generalist role will build and manage programs end-to-end, from design through rollout, measurement, and iteration, while working directly with managers and reps to ensure enablement drives results. You'll report to the Head of Sales Enablement and help establish operational rigor as this global function scales. Key Responsibilities Own enablement programs from design through rollout, measurement, and iteration Partner with Product, Marketing, Sales Leadership, and RevOps to align GTM priorities and embed enablement into every stage of the sales lifecycle Create and curate high-impact resources (playbooks, battle cards, demo scripts, certification programs) for Cohere's solutions Establish KPIs (win rates, sales cycle efficiency) and use analytics to refine initiatives and prove ROI Operationalize MEDDPICC methodology into everyday seller behavior (deal reviews, coaching, planning) Build certification paths that accelerate new seller productivity across regions and cultures Maintain and evolve the enablement content platform to ensur

Education Degree, Post graduate in Computer Science or related field (or equivalent industry experience) Experience Extensive knowledge of Wealth Management, architecture, modules and hands on experience of front to back implementation of Wealth Management Suite Minimum 8 years of experience in Wealth Management Must have good experience of handling Trade Life Cycle Must have experience in implementing End to End solution in Wealth Management Must have good experience in API integration. Technical Skills Should have development experience in SQL-languages with understanding of SQL-databases Excellent understanding of the Asset Management and Investment Banking Experience in Business Analysis and System Implementation with extensive experience in Trading platforms Working knowledge of industry related protocols including FIX, EMSX and TSOX Experience in Wealth Management and Trading systems including Advent, SAXO, SWIFT, Bloomberg, Reuters General understanding of event driven systems Functional Skills Experience in Banking, Financial and Fintech experience in an enterprise environment preferred Experience in following best Coding, Security, Unit testing and Documentation standards and practices Experience in Agile methodology Effectively research and benchmark technology against other best in class technologies Focus on quality of the deliverables to ensure long term stability of the system Soft Skills Able to influence multiple teams on technical considerations, increasing their productivity and effectiveness, by sharing deep knowledge and experience Self-motivator and self-starter, Ability to own and drive things without supervision and works collaboratively with the teams across the organization Have excellent soft skills and interpersonal skills to interact and present the ideas to Senior and Executive management

Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you’ll be part of a passionate team dedicated to accomplishing hard things, together. Senior Consultant Location: Chennai, India | Work Model: In Office Appian Customer Success is obsessed with delivering exceptional customer outcomes and driving mission-critical business impact. Grounded in our core values of Excellence and Intensity, we act as elite technical advisors to our commercial clients. By joining this high-performance team, you will champion a culture of candid communication and excellence while accelerating global adoption of our AI-Powered Process Automation platform. What You’ll Do Implement Scalable Platform Architecture: Build and maintain standards and tools to ensure high performance and resilience with a focus on reusability, schema design, data modeling , query performance, and responsive UX/UI best practices. Engineered Integrations: Perform hands-on design, code implementation, and unit testing using SQL views , stored procedures , and high-concurrency REST/SOAP web services/APIs . System-Level Troubleshooting: Rapidly diagnose performance bottlenecks, memory usage, CPU constraints, and network latency spikes across the web application stack. Performance Profiling & Analysis: Analyze database execution plans, system logs, and Locust load test outputs to isolate and resolve root-cause performance bottlenecks. Technical Quality & Enablement: Ensure continuous integration and delivery alignment by applying strong DevSecOps practices, robust automated testing, and clean coding standards. Required Qualifications Bachelor’s Degree in Computer Science, Engineering, Information Systems, or Mathematics. 8+ years of pro

Key Responsibilities : Primary responsibilities :- Installation and configuration of MySQL instances on single or multiple ports. Hands-on experience of working with MysQL 5.7 and MySQL 8. Clear understanding of MysQL Replication process flows , threads , setting up multi node clusters and basic troubleshooting. Understanding of at least one of the backup and recovery methods for MySQL . Strong fundamentals of SQL and able to understand and tune complex SQL queries when needed. Strong fundamentals on the linux system side and monitoring tools like top , iostats , sar etc. At Least couple of years of production hands on experience on medium to big sized MySQL databases. Setting up and maintaining users and privileges management system and troubleshooting relevant access issues. Some exposure to external tools like Percona , ProxySQL , HAP etc. Understand the transaction flows and ACID compliance. Basic understanding of networking concepts . Performing on-call support and should be able to provide the first level support . Excellent verbal and written communication skills. Strong shell scripting skills . Good to have Python . Secondary responsibilities. :- Able to configure and setup NOSQL databases like Mongodb and Cassandra. Ability to learn new technologies along with a team and a positive outlook to understand problems from the business point of view. Qualifications: Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent experience). Proficiency in database management systems such as , MySQL or NoSQL databases. SQL programming and database design skills. Knowledge of database performance tuning and optimization techniques. Familiarity with database security best practices. Scripting and automation skills (Good to have- Python). Good problem-solving and analytical skills. Excellent communication and teamwork ski

Artefact is a new generation of data service providers specialising in data consulting and data-driven digital marketing. It is dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth. The backbone of our consulting missions, today our Data consulting team has more than 400 consultants covering all Artefact's offers (and more): data marketing, data governance, strategy consulting, product owner… What you will be doing? As a Data Engineer, your role involves crafting and maintaining robust data pipelines, utilising Python and SQL, to ensure efficient extraction, transformation, and loading (ETL) of data. Your responsibilities will include: Data Pipeline Development: Building and optimising data pipelines to facilitate seamless data flow across systems and platforms. Database Management: Managing databases, ensuring their integrity, and implementing data storage and retrieval solutions. Cloud Services Integration: Leveraging cloud services such as MS Azure, GCP, and AWS to architect and deploy scalable data solutions. Machine Learning Integration: Collaborating with teams to integrate machine learning models into data pipelines for enhanced data processing. Utilising Spark & Kafka: Implementing and working with Spark and Kafka for real-time data processing and analytics. What we are looking for? Proficiency in Python, SQL, and database management. Experience with Data Pipelines ETL, Cloud Services ( MS Azure, GCP preferred) , ML Modeling, Spark & Kafka. Proven problem-solving skills and a solution-oriented mindset. Excellent communication skills to collaborate effectively within teams and with stakeholders. Strong business acumen with an interest in business-facing roles. Adaptability and a start-up mentality to thrive in a dynamic environment. Candidates with similar skill sets and experiences have excelled in technology firms or consultancy firms. Successful ca

Artefact is a new generation of data service providers specialising in data consulting and data-driven digital marketing. It is dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth. The backbone of our consulting missions, today our Data consulting team has more than 400 consultants covering all Artefact's offers (and more): data marketing, data governance, strategy consulting, product owner… What you will be doing? As a Data Engineer, your role involves crafting and maintaining robust data pipelines, utilising Python and SQL, to ensure efficient extraction, transformation, and loading (ETL) of data. Your responsibilities will include: Data Pipeline Development: Building and optimising data pipelines to facilitate seamless data flow across systems and platforms. Database Management: Managing databases, ensuring their integrity, and implementing data storage and retrieval solutions. Cloud Services Integration: Leveraging cloud services such as MS Azure, GCP, and AWS to architect and deploy scalable data solutions. Machine Learning Integration: Collaborating with teams to integrate machine learning models into data pipelines for enhanced data processing. Utilising Spark & Kafka: Implementing and working with Spark and Kafka for real-time data processing and analytics. What we are looking for? 2-5 years: Data Engineer Proficiency in Python, SQL, and database management. Experience with Data Pipelines ETL, Cloud Services (MS Azure, GCP, AWS), ML Modeling, Spark & Kafka. Proven problem-solving skills and a solution-oriented mindset. Experience working with business stakeholders either internally or externally Excellent communication skills to collaborate effectively within teams and with stakeholders. Strong business acumen with an interest in business-facing roles. Adaptability and a start-up mentality to thrive in a dynamic environment. Minimum of a bachelor's

Artefact is a new generation of data service providers specialising in data consulting and data-driven digital marketing. It is dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth. The backbone of our consulting missions, today our Data consulting team has more than 400 consultants covering all Artefact's offers (and more): data marketing, data governance, strategy consulting, product owner… What you will be doing? As a Data Engineer, your role involves crafting and maintaining robust data pipelines, utilising Python and SQL, to ensure efficient extraction, transformation, and loading (ETL) of data. Your responsibilities will include: Data Pipeline Development: Building and optimising data pipelines to facilitate seamless data flow across systems and platforms. Database Management: Managing databases, ensuring their integrity, and implementing data storage and retrieval solutions. Cloud Services Integration: Leveraging cloud services such as MS Azure, GCP, and AWS to architect and deploy scalable data solutions. Machine Learning Integration: Collaborating with teams to integrate machine learning models into data pipelines for enhanced data processing. Utilising Spark & Kafka: Implementing and working with Spark and Kafka for real-time data processing and analytics. What we are looking for? 2-5 years: Data Engineer Proficiency in Python, SQL, and database management. Experience with Data Pipelines ETL, Cloud Services (MS Azure, GCP, AWS), ML Modeling, Spark & Kafka. Proven problem-solving skills and a solution-oriented mindset. Experience working with business stakeholders either internally or externally Excellent communication skills to collaborate effectively within teams and with stakeholders. Strong business acumen with an interest in business-facing roles. Adaptability and a start-up mentality to thrive in a dynamic environment. Minimum of a bachelor's

Sigma is growing rapidly, and our Technical Support Engineering team is scaling alongside it to meet the needs of an expanding global user base. As a Technical Support Engineer at Sigma, you will be part of an award-winning team recognized with the 2024 Stevie Gold Award for Customer Service, helping customers solve technical, business, and data challenges using the Sigma platform. You'll work closely with Product, Engineering, and Go-to-Market teams to diagnose complex issues, drive solutions, and contribute to the continuous improvement of our product and support operations. Minimum Education Requirement This position requires a U.S. Bachelor's degree (or foreign equivalent) in Computer Science, Software Engineering, Information Systems, Data Science, or a closely related technical field. This requirement is a minimum and cannot be substituted by work experience alone. What You Will Be Doing You will work with Sigma's customers and the pre-sales team to assist with the diagnosis and resolution of complex technical issues. Working closely with the development team, you will develop best practices and tools for diagnosing issues and optimizing the service for performance. Collaborate with cross-functional groups — backend, frontend, DevOps, design, product, and the go-to-market teams to create a first-class experience for users of our product. Participate in quarterly projects and perform periodic on-call duties to improve automation and processes. Qualifications We Are Looking For 2+ years of experience in a customer-facing technical role (Technical Support, Solutions Engineering, or Software Engineering) at a cloud or SaaS provider. SQL proficiency — strong grasp of JOINs, Partitions, Window Functions, Aggregations, CTEs, and sub-queries. SQL query performance troubleshooting and query plan analysis. Proficient in data modeling concepts. Ability to chart data into logical visualizations. A proven track record of building trust with customers and brin

Location : Barcelona, Berlin or Hamburg Join our innovative team as a Senior CRM Tech Manager, where you will drive the implementation, maintenance, and optimization of our CRM platform across Rider, Driver and B2B in 9 markets. As a key member of the CRM team, reporting directly to the Head of CRM, you’ll collaborate across marketing, operations and data functions to ideate and deliver high-quality, data-driven marketing automations and other solutions that enhance customer engagement and support our business growth. YOUR DAILY ADVENTURES WILL INCLUDE: Drive the technical design, implementation, optimization, and scalability of CRM systems. Collaborate with marketing, product and engineering teams, ensuring technical CRM solutions align with business goals. Develop and maintain our CRM infrastructure, including automating workflows, integrations, and personalization that drive efficiency. Ensure data quality, integrity, and compliance through audits and analysis. Troubleshoot CRM performance issues and optimize system functionality. Analyze CRM data to generate insights and recommendations. Manage technical vendors and maintain system documentation. Develop in-app messages and email templates using HTML, CSS, and JavaScript. Write SQL and Python scripts for segmentation and ETL processes. Our MarTech stack : Braze | Tableau | Mixpanel & more TO BE SUCCESSFUL IN THIS ROLE: Bachelor's degree in Information Technology, Computer Science, Business, or a related field. Minimum 3+ years of multi-country CRM experience, ideally in ride-hailing, mobility, or food delivery. Self-learner with hands-on experience configuring, customizing and optimizing CRM platforms, particularly Braze and for mobile applications. Proficiency in SQL, HTML, CSS, and JavaScript for CRM automation and customization. Strong analytical and problem-solving skills with a data-driven mindset. Experience with API integrations and understanding of data structures and microservices. Ability to c

Location : Barcelona, Berlin or Hamburg Join our innovative team as a Senior CRM Tech Manager, where you will drive the implementation, maintenance, and optimization of our CRM platform across Rider, Driver and B2B in 9 markets. As a key member of the CRM team, reporting directly to the Head of CRM, you’ll collaborate across marketing, operations and data functions to ideate and deliver high-quality, data-driven marketing automations and other solutions that enhance customer engagement and support our business growth. YOUR DAILY ADVENTURES WILL INCLUDE: Drive the technical design, implementation, optimization, and scalability of CRM systems. Collaborate with marketing, product and engineering teams, ensuring technical CRM solutions align with business goals. Develop and maintain our CRM infrastructure, including automating workflows, integrations, and personalization that drive efficiency. Ensure data quality, integrity, and compliance through audits and analysis. Troubleshoot CRM performance issues and optimize system functionality. Analyze CRM data to generate insights and recommendations. Manage technical vendors and maintain system documentation. Develop in-app messages and email templates using HTML, CSS, and JavaScript. Write SQL and Python scripts for segmentation and ETL processes. Our MarTech stack : Braze | Tableau | Mixpanel & more TO BE SUCCESSFUL IN THIS ROLE: Bachelor's degree in Information Technology, Computer Science, Business, or a related field. Minimum 3+ years of multi-country CRM experience, ideally in ride-hailing, mobility, or food delivery. Self-learner with hands-on experience configuring, customizing and optimizing CRM platforms, particularly Braze and for mobile applications. Proficiency in SQL, HTML, CSS, and JavaScript for CRM automation and customization. Strong analytical and problem-solving skills with a data-driven mindset. Experience with API integrations and understanding of data structures and microservices. Ability to c

You will: Manage the growth program from end to end, including top-of-the-funnel growth / recruiting campaigns, applications processing, and hiring and onboarding Represent and champion the brand, promoting its value proposition to candidates and stakeholders, driving engagement, and taking ownership of process improvements that streamline growth pipelines and support program success Optimize full growth funnel for conversion and experience Build and lead new growth recruiting campaigns and channels to meet business goals Be the subject matter expert for all recruiting systems (ATS: Greenhouse), tools, and processes, and provide training/onboarding as needed Own internal reporting and analytics, and keeping all the internal hiring data clean and up-to-date in our systems Be the strategic driver behind on impactful initiatives to improve the workflow, data infrastructure and reporting Proactively flag discrepancies in hiring plans, interview process, JDs, offer details, etc. and maintain data integrity and operational excellence within the team Work from the San Francisco office, with occasional travel for onsite growth events. Ideally you’d have: Minimum of 3-7 years of experience working in Growth, Recruiting or RecOps at a rapidly growing company Extensive experience using Greenhouse as a Site Admin (user permissions, approvals, custom options) and pulling ad hoc reports using our internal TA tools (report connector, reporting capabilities, and limitations) Strong knowledge of Gsuite (VLOOKUP, pivot tables, data validation, conditional statements and formatting, filters, etc.) Excellent written and verbal communication skills, with the ability to tailor messaging to diverse audiences Must have a deep understanding of Growth / Recruiting Pipelines, Funnels and Conversion metrics Demonstrated excellent project management skills, ability to pull and manipulate data sets, critically analyze existing processes, and identify opportunities for process improvement Able to

Here's a summary of the role Data is only powerful when everyone agrees what it means. This is your chance to build a world class product behavioural data system and process from the ground up. We're rebuilding the internal product our teams use to measure product success and end-user value across all our 24+ products in four business units. You'll design the single source of truth: the metric definitions, the telemetry standards, the data contract engineering instruments against, the change governance processes and tooling, and the models that turn behaviour into portfolio insight. You'll educate and support the teams using this internal behavioural data product to set expectations and and plot a rational roadmap for the maturing of this product, helping our user to use the data honestly and wisely. Usage tells you what happened, not why, or whether it mattered. We want someone who sets quantitative behaviour against qualitative evidence and treats the disagreement as the interesting part. AWS/Snowflake is our spine; capture and BI are open decisions you'll help make. Your models feed the business reviews our executive team, CTO and investors use to run the portfolio, and engineering is committed to instrument against your contract. Here's what your first twelve months should look like First 90 days. Learn the estate, meet the engineers who instrument it, and agree the measurement model for one product end to end — with a defensible adoption number and the qualitative read on what it means. Three to six months. Data contract published, instrumentation spec landed with engineering, first business unit building against it. Definitions, naming and versioned change control governed. Six to twelve months. Rolling out across the remaining business units through the BU-aligned analysts, portfolio reporting running on your numbers. Here's a breakdown of what you'll do (not all

Opportunity Overview: We are seeking a Sr. Data Engineer to help drive the technical vision of our Data Engineering team as we scale our infrastructure, services, and architecture. This role is ideal for someone who blends deep technical expertise with strategic thinking and cross-functional influence. As a Sr. Data Engineer, you will partner closely with other data and analytics engineers, architects, product leaders, and business stakeholders to evolve our data infrastructure in support of high-trust, scalable, and business-aligned outcomes. You’ll also serve as a force multiplier across teams; raising the bar for data engineering excellence and accelerating the maturity of our data platform capabilities. What you’ll do: Develop, and maintain robust ETL/ELT pipelines to ingest, transform, and load data from multiple source systems into enterprise data platforms. Ensure pipelines are scalable, reusable, fault-tolerant, and optimized for batch and near real-time processing requirements. Develop interactive dashboards, scorecards, and KPI reporting solutions using BI tools. Deliver executive, operational, and analytical reporting aligned with business goals. Identify repetitive manual reporting processes and automate them using scripting, workflow orchestration, scheduling tools, and dashboard refresh mechanisms to improve efficiency, accuracy, and turnaround time. Collaborate with internal stakeholders and leadership teams to understand data integration and reporting needs, define KPIs, document business rules, and translate requirements into scalable technical solutions. Implement data validation checks, reconciliation controls, lineage documentation, metadata standards, and governance policies to maintain trusted, secure, and compliant data assets across the organization. Provide technical guidance, code reviews, best practices, and mentor junior team members. Investigate and resolve production incidents related to pipelines, delayed reports, data mismatches