... organize scripts, tools, documentation, and data test sets in a version control system. Work with multiple project teams to understand their specific needs, priorities, and procedures while applying the standard processes expected of them. Experience with modern IT Software Development Life Cycle (SDLC) methodology concepts ...
Remediation Analysts: Required / Must-have: Ability to identify data quality issues, investigate root causes, and apply fixes in line with business rules Experience in data mapping and in executing data remediation and cleansing activities as part of a platform migration SQL (and Python if possible) skills for querying, ...
... preferred . Seniority level : 2 to 4 years' of experience in a similar role with a foreign Bank . Knowledge of financial products . Strong analytical skills with ability to collect, organize, analyze and disseminate significant amount of information with attention to detail and accuracy . Adept at queries, report writing ...
Take a lead role in acquiring, managing and retaining meaningful relationships that deliver outstanding experience to our customers. As a Client Data Analyst within our KYC/AML team, you will be responsible for understanding and implementing KYC standards, guidelines, policies, and procedures. You will handle and maintain ...
Take a lead role in acquiring, managing and retaining meaningful relationships that deliver outstanding experience to our customers. As a Client Data Analyst within our KYC/AML team, you will be responsible for understanding and implementing KYC standards, guidelines, policies, and procedures. You will handle and maintain ...
... processes and data pipelines to improve reporting efficiencies. Collect, archive, and review data from a variety of open and proprietary sources. Ensure the integrity, confidentiality, and security of all datasets. Collaborate with key stakeholders to ingest volumes of data, policy, and program points. All other duties, as ...
Analyst - Business Intelligence - IN to access and explore data to derive insights for decision making. They collaborate with business users and focus on counts, statistics, and visualization to improve performance and find strategic opportunities for the business. Their job involves the enablement of effective data management ...
... modeling, data management, SQL, and data governance tools.- Conduct root cause analysis for data defects and support resolution efforts.- Develop and maintain data quality standards, policies, and procedures.- Collaborate with business stakeholders to define data requirements and metadata.- Support data lineage tracking ...
Data Analyst: Experience: 7 - 11 years (but need expert Engineers): Strong hands-on experience with Databricks for data analysis, exploration, validation, and troubleshooting. Advanced SQL querying and scripting skills, with the ability to work with complex and large-scale datasets. Strong experience in data analysis, data ...
... optimize operational efficiency. You will work closely with cross-functional teams to transform complex data into meaningful reports and recommendations. The Data Analyst will be responsible for collecting, cleaning, and analyzing data from multiple sources to identify trends and opportunities. Responsibilities Collect, ...
... skills, and the ability to operate independently in a fast-paced consulting environment. - Proven analytic experiences and problem-solving skills (Master’s degree with a major in a related field of quantitative science e.g., engineering, computer/data science, statistics, mathematics, etc.) - Senior Analyst: Master’s degree ...
Job Responsibilities Data Governance professional with experience in: Data Governance & Stewardship Collibra SQL Customer Master Data (HCP, HCO, Affiliations, Organizations, Addresses, Territories & Sales Alignment) Data Quality, Validation, Deduplication & Enrichment Metadata Management, Data Lineage, Business Glossary ...
... Degree in a quantitative field (e.g., Engineering, Mathematics, Finance, Computer Science, Statistics, Economics). - 0-2 years of professional experience in Data Science and Analytics. - Strong proficiency in SQL and working with large datasets; experience with Python or similar analytical tools. - Experience with modeling ...
... Power Platform (Power BI, Power Apps, Power Automate ).. - Data Governance & Quality - Ensure data quality, consistency, and integrity across systems. - Define data standards, reporting structures, and governance mechanisms. - Support continuous improvement through data validation and auditing. Partner with Engineering Managers, ...
... requests. He/She should be able to help the stakeholders on improving the processes via automation of projects. The analysts should be able to deep dive into the data for insights and also be able to formulate Power BI tasks and solutions. Shift Timings: Flexible Principal Responsibilities Request processing - Working on ad-hoc ...
... years of experience in a quantitative analyst role (preferably in B2B SaaS, growth analytics, or revenue operations). - Proficiency in SQL and experience working with large datasets. - Experience using Tableau, Looker, or similar tools to create dashboards and report insights. - Strong communication skills, with the ability ...
We are seeking a Task Mining Data Analyst who combines strong programming, data wrangling, and visualization skills with a deep understanding of business processes. This role involves transforming raw task mining data into meaningful insights that drive operational efficiency, automation, and AI-enabled decision-making. ...
... (Engineering, Economics, Stats, Math, etc.). Strong SQL skills - should be comfortable writing complex queries (joins, window functions, CTEs) on large transactional datasets. Ability to independently pull, clean, and structure data without heavy hand-holding. Comfortable working with payment/transaction data (. (success rates, ...
... the Role: As a Data Analyst at NxtWave, you will play a central role in transforming complex datasets into actionable insights, enabling business teams to make data-driven decisions. You'll own end-to-end analytics processes—from data extraction and modeling to visualization—while aligning closely with EdTech metrics and ...