3 Data Pipelining Jobs

Join us as an Assistant Vice President (AVP) Research where you play a crucial role in making informed investment decisions. Our Research team is dedicated to producing proprietary products, differentiated market analysis, and actionable investment ideas for sophisticated investors worldwide. We strive to integrate research disciplines, asset classes, and geographies to provide a comprehensive view of the financial landscape. As an AVP Research, your primary responsibility will be to leverage alternative data and data science methods in collaboration with finance domain experts to enhance financial research. You will also focus on developing and refining methods and infrastructure to streamline research production, ultimately increasing our efficiency over time. This will involve creating software solutions to automate repetitive analyses for team-wide access. Additionally, you will engage in long-term projects aimed at enhancing our research capabilities, such as developing neural language models and pioneering new bias adjustment methods. Successful candidates for this role must possess strong interpersonal skills as they will work closely with global team members and analysts. Effective communication of technical concepts to both technical and non-technical audiences through written and oral channels is essential for this position. Key Responsibilities: - Collaborate on short research projects for publication on Barclays research platform. - Integrate new data sets and develop software to optimize their usability. - Inform analysis designs, particularly in causal and statistical inference. - Apply machine learning methods strategically to enhance research outcomes. - Propose and implement innovative methods for longer-term projects with high potential impact on financial research. Desirable Skillsets: - Proficiency in data analysis and machine learning. - Familiarity with data pipelining, automation, PySpark, SQL, and statistical applications. - Strong communication skills demonstrated through written publications. - Expertise in causal and statistical inference, including observational causal designs. - Previous experience in large-scale text analysis or geolocation data analysis. - Background in quantitative finance. Location: Nirlon Knowledge Park, Mumbai. This role is classified as a Certified position under the PRA & UK Financial Conduct Authority regulations, potentially requiring mandatory regulatory qualifications or minimum internal benchmarks. Purpose of the Role: To deliver differentiated market insights and actionable ideas through research to Barclays Clients. Key Accountabilities: - Analyze market, sector, corporate, and economic data to formulate investment theses for coverage universe. - Present research views to clients through various channels including face-to-face interactions, events, and written communications. - Engage with internal stakeholders to raise awareness of research insights. - Provide insights and research views to internal clients to navigate financial markets effectively. - Collaborate with compliance and supervisory analysts to ensure compliant delivery of research. Assistant Vice President Expectations: - Advise and influence decision-making, contribute to policy development, and ensure operational effectiveness. - Lead complex tasks, setting objectives, coaching employees, and driving performance outcomes. - Foster a collaborative environment, provide guidance on assignments, and identify new directions for projects. - Consult on complex issues, mitigate risks, and develop policies to enhance control and governance. - Engage in detailed data analysis, communicate complex information effectively, and influence stakeholders to achieve desired outcomes. All colleagues are expected to uphold Barclays Values of Respect, Integrity, Service, Excellence, and Stewardship, as well as demonstrate the Barclays Mindset of Empower, Challenge, and Drive.,

Join us as an Assistant Vice President (AVP) Research where you will play a crucial role in making the best investment decisions. Our Research vision revolves around differentiation and integration, where we strive to provide proprietary products, unique market analysis, and actionable investment ideas to sophisticated investors across the globe. We integrate research disciplines, asset classes, and geographies to deliver comprehensive insights. As an AVP Research, your primary responsibility will be to utilize alternative data and data science methods in collaboration with finance domain experts to enhance financial research. You will focus on developing methods and infrastructure to enhance research productivity by creating software for repeatable analysis that can be shared within the team. Additionally, you will work on long-term projects aimed at improving our capabilities, such as developing neural language models on text and innovating bias adjustment methods. To excel in this role, you must possess strong interpersonal skills as data scientists work closely with global team members and analysts. Clear communication of technical concepts to both technical and non-technical audiences through written and oral channels is essential for success. Key responsibilities include collaborating on short research projects for publication, onboarding new data sets, informing analysis designs, applying ML methods strategically, and ideating and executing novel methods for longer-term projects. Desirable skillsets include strong data analysis and ML skills, understanding of data pipelining and automation, expertise in statistics for research design, and experience in large-scale text or geolocation data analysis. This role is based in Nirlon Knowledge Park, Mumbai, and is certified under the PRA & UK Financial Conduct Authority regulations. You will be responsible for producing and delivering research with differentiated market insights and actionable ideas to Barclays Clients. Your accountabilities include analyzing market data, presenting research views to clients, engaging with stakeholders, providing insights to internal clients, and ensuring compliance in research production and delivery. As an Assistant Vice President, you are expected to advise and influence decision-making, lead a team, set objectives, coach employees, and demonstrate leadership behaviours. You will collaborate with other functions, guide team members, consult on complex issues, mitigate risks, and contribute to the governance agenda. Additionally, you will engage in complex data analysis, communicate complex information, and influence stakeholders to achieve desired outcomes. All colleagues are expected to uphold the Barclays Values of Respect, Integrity, Service, Excellence, and Stewardship, as well as demonstrate the Barclays Mindset of Empower, Challenge, and Drive.,

About the Role We are seeking Data Analysts to be part of our GSS DaaS team who will support Uber's internal Operations teams across the globe and drive the analysis behind various business-related decisions. You will work along with the Program Managers and the Client team to put together processes and deliver on the requirements. For this role you need to be comfortable with numbers, good with logical reasoning and generating insights. What the Candidate Will Need / Bonus Points You will perform a range of activities to analyze Uber's Delivery, Mobility & Core Services data sources to improve business efficiency & effectiveness and deliver qualitative insights as well as partnering with Operations teams to build analytics solutions. The ideal candidate is experienced working with large data sets and data visualization, as well as being passionate about data and analytics. The following describes what you may be doing day-to-day: Embed within Uber's Ops team and develop expertise around all aspects of their data Deep dive into historical data to understand their sources, feature sets and identify patterns Write queries, perform ad-hoc analysis and create reporting to ensure the team is moving towards smarter decisions Perform analytical deep dives to drive product/strategy road-map Build interactive and visually appealing dashboards using data visualization tools such as Tableau, or Looker. Translate analytical solutions into useful insights and recommendations for the technical and non-technical audience in a clear, concise and persuasive way Get pumped up by deciphering huge data sets and cutting through irrelevant distractions to get to the heart of the core data questions Attention to detail, accuracy is a must! Humble and scrappy - not afraid to take on lower level projects when it will clear roadblocks for the team Demonstrate good documentation practices and able to meet deadlines ---- Basic Qualifications ---- Minimum 3 years experience working in business intelligence, analytics, data engineering, or a similar role Ability to write complex SQL queries including experience working with large data sets and Hive database Ability to code in Python for setting up Automations Data pipelining / ETL experience Fluency in communicating data insights (Methods, Results & Actions) with the peer group Team player and able to multitask Ability to work with remote teams and within the Australia time zone Able to raise the bar for quality/efficiency within the team ---- Preferred Qualifications ---- BS / Masters in Maths, statistics, science or any other quantitative discipline Expertise in Statistical Data Analysis and Hypothesis Testing We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have the curiosity, passion, and collaborative spirit, work with us, and let's move the world forward, together. Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role. .Accommodations may be available based on religious and/or medical conditions, or as required by applicable law. To request an accommodation, please reach out to .