Data And Reporting Professional 2 Jobs

Join Truecaller – The place where innovation meets impact! Truecaller's mission is to build trust in communication by making it safer, smarter, and more efficient. Born in Sweden, trusted by the world, and here’s why we stand out: We are trusted by over 500 million active users every month across 190+ countries We identify over 15 billion calls daily, helping users avoid spam and scams We are powered by a team of 400+ employees from 45+ nationalities We always look for people who take initiative, own their work, and keep raising the bar. An entrepreneurial mindset matters here, especially when it turns bold ideas into real actions. We stay collaborative and focused, always searching for smarter paths forward. If you want to make an impact and grow with a team that inspires millions, you’ll fit right in. The role: As a Senior Data Analyst, you’ll be responsible for the team's quantitative insights. From understanding our data, identifying problems, to working with product, tech, and design on hypothesizing solutions. You’ll be the driver of our experimentation and learning efforts and will collaborate with different teams. What you will do Understanding Truecaller's data. Taking ownership of quantitative insights for your team, playing a crucial role in product development. Defining experiments, overseeing their setup, and analyzing their results to drive decision-making. Developing and maintaining key performance indicators (KPIs) for the team, ensuring their tracking, reliability, and reporting. Creating data pipelines and dashboards to measure the team's KPIs and effectively communicate insights to both the team and leadership. Coaching and mentoring the team on experimentation and data-driven product development processes, fostering a culture of data-driven decision-making. What you bring in 5+ years of experience in Data Analytics Experience in using SQL to extract, transform, and analyse data Experience in data visualisation tools like Looker (pref

Join Truecaller – The place where innovation meets impact! Truecaller's mission is to build trust in communication by making it safer, smarter, and more efficient. Born in Sweden, trusted by the world, and here’s why we stand out: We are trusted by over 500 million active users every month across 190+ countries We identify over 15 billion calls daily, helping users avoid spam and scams We are powered by a team of 400+ employees from 45+ nationalities We always look for people who take initiative, own their work, and keep raising the bar. An entrepreneurial mindset matters here, especially when it turns bold ideas into real actions. We stay collaborative and focused, always searching for smarter paths forward. If you want to make an impact and grow with a team that inspires millions, you’ll fit right in. The role: As a Staff Data analyst, you’ll be responsible for the team's quantitative insights. From understanding our data, identifying problems, to working with product, tech, and design on hypothesizing solutions. You’ll be the driver of our experimentation and learning efforts and will collaborate with different teams. What you will do Understanding Truecaller's data. Taking ownership of quantitative insights for your team, playing a crucial role in product development. Defining experiments, overseeing their setup, and analyzing their results to drive decision-making. Developing and maintaining key performance indicators (KPIs) for the team, ensuring their tracking, reliability, and reporting. Creating data pipelines and dashboards to measure the team's KPIs and effectively communicate insights to both the team and leadership. Coaching and mentoring the team on experimentation and data-driven product development processes, fostering a culture of data-driven decision-making. What you bring in 6-10 years of experience in Data Analytics Experience in using SQL to extract, transform, and analyse data Experience in data visualisation tools like Looker (pre

Overview: We are looking for a Senior Data Engineer with deep expertise in Lakehouse architecture, real-time data streaming, cloud data infrastructure, and microservices development on Azure Kubernetes Service (AKS). You will play a central role in designing and delivering next-generation data pipelines, BI solutions, AI/ML platforms, streaming APIs, and scalable microservices that power Guidepoint's research and analytics products. This is a high-impact, hands-on engineering role. You will work closely with data architects, data scientists, analysts, frontend engineers, QA, and DevOps teams to translate complex business requirements into scalable, reliable, and observable data systems. This is a Hybrid role from our Pune office. What You'll Do: Data Engineering & Lakehouse Design, build, and maintain ETL pipelines, data ingestion workflows, and table schemas on Azure Databricks to support BI, analytics, and AI/ML use cases Architect and optimize the Lakehouse using Delta Lake on Databricks, ensuring reliability, performance, and cost efficiency Build and support data pipelines from business applications such as Salesforce, NetSuite, and other enterprise systems Develop and maintain Knowledge Graph models, entity relationship structures, and NLP-based insight pipelines Maintain data governance, data privacy standards, and compliance best practices throughout the data lifecycle Perform root cause analysis on data and processes to identify opportunities for improvement Collaborate with data architects, scientists, and business consumers to populate and optimize the data warehouse for reporting and analytics Microservices & AKS Development Develop and support scalable web APIs and microservices using Python and Azure Platform Services Build new applications, services, and platforms; optimize existing solutions and refactor legacy components using modern, scalable architec

The Data Engineering team’s mission is to ensure high-quality data to enable data-informed decision-making across Asana. You will build data artifacts that are leveraged by Product and Business Data Science teams to optimize our user adoption, growth, and experience. In this role, you will partner with the Infrastructure team to build a self-service analytics platform for the company. This role is based in our Vancouver office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday; most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What you’ll achieve Design, implement, and scale end-to-end data products that support growing data processing and analytical needs Transform raw data into actionable insights to drive product strategy and power in-depth analyses and reporting Leverage AI to build self-serve tools and accelerate Data/GTM workflows Partner with data scientists, domain experts, and engineering teams to develop a roadmap that aligns with our business goals Implement systems that guarantee data quality, governance, and availability About you 5+ years of experience in Data Engineering or Software Engineering Experience in data modeling and building scalable data pipelines involving complex transformations Proficiency in data processing and storage technologies like Databricks, AWS/S3, Python/Scala/Java, SQL, Spark, and Airflow Proactive and innovative in identifying and addressing performance bottlenecks in existing workflows Motivated to work closely with cross-functional partners to evolve our analytical data model Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making At Asana, we're com

Senior Data Architect – Wealth & Asset Management Location: London (Hybrid) | Practice Area: Data & Analytics | Type: Permanent Design the blueprint. Architect the future of Wealth & Asset Management. Empower data transformation through modern, AI-enabled ways of working. The Role Capco is seeking a Senior Data Architect to lead and deliver complex data architecture initiatives across our Wealth & Asset Management clients. In this senior consulting role, you will guide wealth managers, asset managers, and private banks through large-scale data transformation journeys – defining enterprise data strategies, designing target architectures, and building scalable, cloud-based platforms that support advisor and client experiences, investment analytics, regulatory reporting, and operational efficiency. Alongside client delivery, you will contribute to evolving Capco’s Wealth & Asset Management data architecture propositions and thought leadership in modern, cloud-native data ecosystems, exploring how approved AI tools, including Generative AI and Agentic AI where appropriate, can improve insight, productivity, and delivery while maintaining human oversight and responsible AI guardrails. What You’ll Do Lead agile consulting engagements delivering modern data architecture and cloud transformation across Wealth & Asset Management, using approved AI-enabled workflows and automation where appropriate to improve delivery speed, quality, and insight. Define and implement scalable enterprise data strategies spanning programmes and business units, including canonical WAM data domains and models across client/household, portfolio/account, holdings/transactions, instruments and pricing, performance, and fees. Architect and deliver cloud-native data platforms (AWS, Azure, GCP) that enable advisor/client journeys and advanced investment analytics, including risk, performance and reporting, while defining integration patterns across core WAM platforms. Establish

About the Team DoorDash is looking for an experienced Data Engineer to join our growing Tax Data Mart team. This role will be a key contributor to the team and will be responsible for building and operating the data pipelines and infrastructure that power analytics and decision-making across the company. As DoorDash continues to grow its global footprint across multiple business lines, we are looking for a candidate with experience designing and maintaining scalable data systems. This person will support and grow our unique community via your blend of engineering, technology, and process improvement experience. About the Role You will be reporting to the Manager of Tax Data Mart, and play an integral role in DoorDash’s data function, owning the processes for ingesting, transforming, and controlling our data, ensuring accuracy, and making it available to analytics and business users. As a member of this team, you will lead the design, implementation, and operation of data pipelines and related processes to support the Company’s exponential growth. You’re excited about this opportunity because you will… Design, build, and maintain scalable, reliable data pipelines (ETL/ELT) that serve data across the company Develop and optimize data models and warehouse structures to support analytics and reporting Participate in new business initiatives and identify their impact on existing data system(s) and processes. Work closely with Analytics, Data Science, and business partners in the development and validation of new data sources. Identify and document business, functional and technical requirements to support new business initiatives and to enhance existing system functionality. Leverage AI & AI assisted tooling to build and automate recurring data tasks & pipelines. Monitor data quality, reliability, and observability, and resolve data-related issues for our internal business partners. Participate in defining the Company’s data tooling needs, including the maintenan

It all started with an idea at Block in 2013. Initially built to take the pain out of peer-to-peer payments, Cash App has gone from a simple product with a single purpose to a dynamic ecosystem, developing unique financial products, including Afterpay/Clearpay, to provide a better way to send, spend, invest, borrow and save to our 50+ million monthly active customers. We want to redefine the world’s relationship with money to make it more relatable, instantly available, and universally accessible. Today, Cash App has thousands of employees working globally across office and remote locations, with a culture geared toward innovation, collaboration and impact. We’ve been a distributed team since day one, and many of our roles can be done remotely from the countries where Cash App operates. No matter the location, we tailor our experience to ensure our employees are creative, productive, and happy. The Role As a Data Engineer you will handle everything from data architecture and modeling to data pipeline tooling and dashboarding. You will enable other compliance and risk teams to make impactful business decisions by laying the foundation of our large and unique datasets that span across multiple products. This role will support compliance or risk product data engineering teams. The Compliance Data Engineering team at Block supports the detection and reporting of suspicious financial crimes activity across Cash App, Square, and Afterpay. We work globally with partners in business, engineering, counsel, and product to provide a safe user experience for our customers while minimizing and potentially eliminating bad activity on our platform. The Risk Product Data Engineering team at Block builds reliable data foundations that help protect customers across Cash App, Square, and Afterpay. We partner with product, engineering, compliance, and legal teams to support risk detection, reporting, instrumentation, and ML-ready datasets across critical domains including identit

eClinical Solutions helps life sciences organizations around the world accelerate clinical development initiatives with expert data services and the elluminate Clinical Data Cloud – the foundation of digital trials. Together, the elluminate platform and digital data services give clients self-service access to all their data from one centralized location plus advanced analytics that help them make smarter, faster business decisions. You will make an impact The Director, Biometrics Business Strategy at eClinical Solutions is a senior commercial leader responsible for driving revenue growth and strategic partnerships across biometrics services, including biostatistics, statistical programming, data management, and eClinical Solutions related analytics solution, elluminate . This role focuses on expanding new and existing client relationships within the life sciences industry, shaping go-to-market strategy, and positioning the organization as a trusted biometrics partner and as a resident SME to guide customers. The ideal candidate brings deep industry knowledge, strong executive presence, and an ability to work on closing complex deals in data management and biometrics services. Your day to day Business Development & Revenue Growth: Own and execute the biometrics business development strategy to achieve and exceed revenue targets. Identify, qualify, and close new business opportunities across biotech and pharma using industry connections, inside sales team, internal leads and cross selling across the current team. Drive complex deal pursuits including end to end and functional service provider (FSP) models. Build and manage pipeline with timely and accurate inputs in CRM (salesforce) to accurately forecasting and reporting to senior leadership. Client & Partner Engagement: Serve as a trusted advisor to senior client stakeholders, including data management, clinical, biometrics, and procurement leader Develop long-term strategic relati

eClinical Solutions helps life sciences organizations around the world accelerate clinical development initiatives with expert data services and the elluminate Clinical Data Cloud – the foundation of digital trials. Together, the elluminate platform and digital data services give clients self-service access to all their data from one centralized location plus advanced analytics that help them make smarter, faster business decisions. You will make an impact The Director, Biometrics Business Strategy at eClinical Solutions is a senior commercial leader responsible for driving revenue growth and strategic partnerships across biometrics services, including biostatistics, statistical programming, data management, and eClinical Solutions related analytics solution, elluminate . This role focuses on expanding new and existing client relationships within the life sciences industry, shaping go-to-market strategy, and positioning the organization as a trusted biometrics partner and as a resident SME to guide customers. The ideal candidate brings deep industry knowledge, strong executive presence, and an ability to work on closing complex deals in data management and biometrics services. Your day to day Business Development & Revenue Growth: Own and execute the biometrics business development strategy to achieve and exceed revenue targets. Identify, qualify, and close new business opportunities across biotech and pharma using industry connections, inside sales team, internal leads and cross selling across the current team. Drive complex deal pursuits including end to end and functional service provider (FSP) models. Build and manage pipeline with timely and accurate inputs in CRM (salesforce) to accurately forecasting and reporting to senior leadership. Client & Partner Engagement: Serve as a trusted advisor to senior client stakeholders, including data management, clinical, biometrics, and procurement leader Develop long-term strategic relati

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. The Data Enablement Team Auth0 is an easy-to-implement authentication and authorization platform designed by developers for developers. We make access to applications safe, secure, and seamless for the more than 100 million daily logins around the world. Our modern approach to identity enables this Tier 0 global service to deliver convenience, privacy, and security so customers can focus on innovation. Within the Data organization, the Data Enablement team is chartered with creating scalable semantic models that make it safe for anyone to see and understand data. By partnering with product and engineering leaders, this team owns the data lifecycle from strategy to prototyping to implementation, executive dashboard and product level self-service support. The Senior Data Analyst Opportunity Reporting to the Manager, Data Enablement - this role will be responsible for unlocking analytics across the company. You will do this through a combination of data lifecycle ownership, data tooling enablement and outreach programs designed to foster the safe usage of scalable data models for reporting and analytic consumption. You'll serve as a critical data and technical partner that empowers our Sales, TAM, and Customer Success teams with the deep product insights they need to succeed. An average week will find you partnering with these teams to understand their measurement needs, reviewing engineering plans to ensure we capture critical data signals from the Auth

About Zoox Zoox is an autonomous ridehailing company building the world's first purpose-built robotaxi — fully electric, bidirectional, with no steering wheel or driver's seat. Backed by Amazon and founded to make transportation safer, cleaner, and more accessible, Zoox designs its vehicles entirely around the rider. We're currently operating in Las Vegas and San Francisco, with Austin and Miami on the horizon, and testing underway across seven U.S. markets. About Our Part-Time Student Worker Program Zoox's part-time student worker program puts you at the center of one of the most ambitious challenges in transportation. You'll contribute to real projects, work alongside engineers and researchers pushing the boundaries of autonomous technology, and gain experience that goes well beyond the classroom. We're looking for students who bring strong academic foundations, curiosity that doesn't stop at coursework, and a drive to be part of something that matters. Role Overview We are seeking a Data Analyst to support the data systems and reporting that power our autonomous fleet operations. You'll transform vehicle telemetry, service logs, and operations data into clear insights that improve decision-making across operations, safety, and engineering teams. This role focuses on analytics, reporting, KPI development, and building accessible datasets and dashboards that help teams understand performance and drive improvements. Responsibilities Analyze vehicle telemetry, service logs, dispatch data, and operational metrics to identify trends and actionable insights Build and maintain dashboards and recurring reports for fleet operations, safety, and engineering stakeholders Define, track, and report on KPIs related to fleet performance, mission success, readiness, and operational efficiency Ensure datasets used for analysis are accurate, well-structured, and re

Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Senior Finance Data Governance Consultant (Contract) *This is a 12 month temporary assignment Sony Interactive Entertainment is seeking an experienced, hands-on Finance Data Governance consultant to help establish and operationalize SIE’s Finance Data Governance capability. The role will partner across Finance and Technology to define governance standards, document critical Finance data and lineage, establish data quality controls, govern master data and hierarchies, and support priority Finance data products. The ideal candidate should have 8+ years of experience in data governance, Finance transformation, or Finance data management, with strong knowledge of financial processes and systems. Experience with SAP S/4HANA, Snowflake, data catalog/governance platforms such as Atlan or Collibra, and enterprise reporting tools is preferred. The candidate should be comfortable working independently in a greenfield environment and translating complex Finance and technical requirements into practical, sustainable governance processes. Responsibilities: Establish the Finance Data Governance Foundation Assess the current maturity of Finance data governance, documentation, ownership, controls, and data management practices. Design and implement a practical Finance Data

Are you interested in working directly for a single sponsor while having the security and additional career opportunities that working for a global CRO can bring? Our team says it’s the best of both worlds... ClinChoice is searching for a Clinical R Data Scientist Consultant to join one of our clients. We are seeking a Clinical R Data Scientist Consultant with strong experience in R and a solid background in clinical programming . The ideal candidate will have hands-on experience developing SDTM and ADAM datasets using R, along with working knowledge of SAS. This role requires someone who can support clinical trial deliverables, ensure regulatory compliance, and collaborate closely with biostatistics and clinical data teams. Key Responsibilities Develop, validate, and maintain SDTM and ADaM datasets using R following CDISC standards. Support TLF (Tables, Listings, Figures) generation in R or SAS as needed. Write efficient, reproducible, and well-structured R scripts for clinical data analysis and reporting. Collaborate with statisticians, data managers, and clinical teams to understand programming requirements. Perform QC checks , reconcile data issues, and ensure deliverables meet regulatory expectations (e.g., FDA, EMA). Contribute to programming workflows, documentation, and version control best practices. Support automation initiatives and R-based pipeline development. Utilize SAS for legacy studies or where SAS support is required. Required Qualifications Bachelor’s or Master’s degree in Statistics, Computer Science, Mathematics, Life Sciences, or related field. 2-3+ years of experience in clinical programming , with a strong focus on R. Proven experience in creating SDTM and ADaM datasets using R. Working knowledge of SAS programming . Solid understanding of CDISC standards (SDTM, ADaM). Experience with clinical trial data, regulatory submissions, and QC processes. Strong analytical, problem-solving, and documentat

The FP&A team at Zoox drives financial analysis of key strategic investments, maintains short and long term financial models, and develops reporting for both internal and external stakeholders. As a Financial Analyst supporting Commercial Operations, you will partner with key stakeholders across Operations, Go-to-Market, Data Science, and Software teams to manage revenue planning and reporting processes for Zoox’s rapidly growing Robotaxi business. You will manage short and long-term financial planning cycles and financial and operational metric reviews to ensure efficient resource allocation. This will require a deep understanding of Zoox’s ridehail operations and spend drivers, establishing strong working relationships with executives, managers, and individual contributors across multiple departments, and utilizing enterprise systems and tools to establish robust financial models and dashboards. The goal for this role is to drive decision-making through timely and actionable financial insights. In this role you will: Own and maintain long-range, annual, and mid-year financial models for demand, fleet allocation, gross bookings and TNC fees Develop city-level models for commercial operations and drive financial analysis for market expansion Partner with operations, manufacturing, regulatory, and data science teams to ensure consistent and industrialized data pipelines for financial analysis Analyze large financial datasets from Anaplan, SAP S4, Databricks, and other internal data systems to drive actionable insights Support implementation of systems required for commercial operations through design, build, testing, and cutover phases Qualifications BA/BS degree, preferably in a Finance, Accounting, Data Science or a quantitative field 4+ years experience in an FP&A or other analytical field 2+ years of direct experience building models, forecast input templates, dashboards, and business proces

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. Stripe builds the most powerful and flexible tools for running an internet business. We handle hundreds of billions of dollars each year and enable millions of users around the world to scale faster and more efficiently by building their businesses on Stripe. To further this important mission, Stripe is building a world class Internal Audit (IA) team. Our IA mission is to make the business better as it grows. We are consumed with the goal of being agile with the business, powered by technology and an accelerator to the speed of controls integration and compliance adoption. About the team Our IA team is responsible for providing objective feedback and insights across the company in relation to the design and effectiveness of Stripe’s business processes, its compliance with laws and regulations and its risk management framework. Unique in our purpose is a cross-functional mandate that invites viewing through a wide lens and collaborating across the business. To enable this engagement, we must build and scale in a rapid-growth, high-volume environment. This is a unique opportunity to join a growing Data Analytics team within audit and work on providing data driven insights across the IA lifecycle. The DA Lead will support Data Analytics and audit fieldwork in execution of the approved Global Audit Plan. They will help develop embedded audit analytics as part of audit planning, fieldwork, and reporting through the execution of data analytics test steps.