... customization trade-offs. - Familiarity with data migration, reporting/analytics, or integration patterns such as REST APIs and middleware. - Experience with complex data models, large-scale implementations, or multi-system landscapes. - Background in contact center operations, customer service, or support technology platforms. ...
... engagements. - Act as a senior technical authority and mentor for IAM engineers and developers. - Collaborate with architects, product owners, security teams, and technology vendors to influence IAM and CIAM roadmaps. - Maintain technical designs, integration standards, engineering guidelines, and implementation runbooks. - Participate ...
Project Role : Business Analyst Project Role Description : Analyze an organization and design its processes and systems, assessing the business model and its integration with technology. Assess current state, identify customer requirements, and define the future state and/or business solution. Research, gather and synthesize ...
... reconciliation, exception identification, and data-quality analysis. Data Engineering understanding – solid understanding of ETL/ELT, data pipelines, data transformations, data models, data warehouses/lakehouses, source-to-target mappings, and data-quality frameworks. Databricks & PySpark familiarity – working knowledge of the Databricks ...
... and execute end to end. MUST-HAVE SKILLS: - Strong Excel: formulas, structuring workbooks, auditing other people's sheets - Python with pandas (or equivalent data tools — must be able to deliver the same outcomes) - Analytical, structured, logical mind with strong error-catching ability — accuracy is critical in this role ...
... Expertise in visualization tools such as Power BI, QlikView, Tableau, etc. Must have retail experience Experience in working in cloud platform like Azure. Strong drive and passion to deliver business impact through retail Analytics. Strong business acumen and ability to translate data insights into meaningful business
... maps, process flows, and wireframes to communicate concepts https://jobeax.com/link/ujOL040LMlsoNqJ5 Qualifications:- 7 - 9 years of experience as a Product Analyst, Business Analyst, or similar role supporting digital products, CRM platforms, or enterprise systems.- Hands-on experience working with Salesforce CRM.- Strong ...
... Informa1on Technology, or related field. - 8+ years of experience in data engineering. - Proficiency in: Programming languages - Python, Java, SQL, Spark SQL. - Data technologies - Hadoop, PySpark, NoSQL databases. - Data visualization tools - Qliksense, Tableau, Power BI - Cloud platorms - Azure Data Factory, Azure Databricks, ...
... customization trade-offs. - Familiarity with data migration, reporting/analytics, or integration patterns such as REST APIs and middleware. - Experience with complex data models, large-scale implementations, or multi-system landscapes. - Background in contact center operations, customer service, or support technology platforms. ...
... Data Research Analyst, you will dig into large datasets to answer open questions, validate hypotheses, and turn raw numbers into clear, decision-ready findings. Data Analysis Query, clean, and analyse large datasets to answer research questions Build metrics, cohorts, and segments from product and business data Run exploratory ...
... science-oriented work based on skills and project needs. Gather and support delivery work - Work on real-world projects with guidance from experienced developers and analysts. - Support data science tasks such as exploratory analysis, feature preparation, hypothesis testing, and pattern detection. - Assist with simple experimentation, ...
We are looking for a skilled and proactive Senior Data Analyst to take ownership of multiple designated client accounts. The role involves applying analytics and visualization techniques to drive better business decision-making while independently managing client interactions and expectations. Responsibilities: Understand ...
Data Scientist Bangalore | 3+ Years Experience Role Overview Looking for a Data Scientist with strong expertise in Machine Learning, Python, SQL, and Optimization to build scalable, production-ready analytical solutions. Key Skills Machine Learning – Regression, Classification, Clustering, Forecasting, Recommendation Systems ...
... cross-organizational and cross-divisional projects automating our data value chain processes Promoting technical best practices throughout the data organization Design data architecture that is simple and maintainable while enabling Data Analysts, Data Scientists, and stakeholders to efficiently work with data. Mentor data team members ...
We are currently seeking a Lead Data Analyst , reporting directly to BI & Data Analytics Manager to join the team based in Noida. The Lead Data Analyst will work closely with the business and has a dynamic role that bridges technical data analysis with strategic business insights. The Lead Data Analyst should possess quick ...
... 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. ...
Job Description: IF interested, please fill this form: - - 5+ years of experience combined in programming, small to large-scale applications, frontend and backend engineering, test-driven development, microservices and architecture design principles - Must have experience on AI/ML implementation such as: Langchain,
High level JD for these positions: • Basic understanding of the Healthcare Provider domain, including hospital operations, clinical workflows, and healthcare applications. • Ability to work with physicians, nurses, technicians, and administrative staff to support day-to-day operational issues.
... the role requires a strong digital awareness, the ability to utilize technology to solve problems and complete tasks, and an understanding of the importance of data for making informed business decisions Empowering others to make decisions, identifying crucial data for decision-making, removing barriers to success, and tracking ...