Lead Data Analyst

QX impact was launched with a mission to make AI accessible and affordable and deliver AI Products/Solutions at scale for enterprises by bringing the power of Data, AI, and Engineering to drive digital transformation. We believe without insights, businesses will continue to face challenges to better understand their customers and even lose them; Secondly, without insights businesses won't be able to deliver differentiated products/services; and Finally, without insights, businesses can’t achieve a new level of “Operational Excellence” is crucial to remain competitive, meeting rising customer expectations, expanding markets, and digitalization.

We are seeking a creative, collaborative, adaptable Data Analyst to join our agile team of highly skilled data scientists, data engineers, and UX developers. Data Analysis is responsible for creating business requirements, data requirements, data mapping, and testing to design and build Data Lakehouses, Data Warehouses, and Data Marts. This role requires extensive SQL experience in writing complex queries across multiple tables, data analysis and profiling skills for the creation of the mapping documents, and further discussion with Data Modelers for the necessary table designs. The Data Analyst will use strong verbal and written communication skills to work with various clients, gather and formulate business requirements and translate the same to the technical team. The Data Analysis will also perform Source-to-Target mapping.

Responsibilities

• Source to target mapping.
• Creating business requirements including functional and technical requirements.
• Creating test plans, test cases, and test scripts.
• Creating dashboard requirements.
• Creating business and technical metadata
• Operational systems analysis, data profiling, and data quality checks
• Work with our clients to gather business requirements, and develop user stories, data mappings, and other artifacts that support solution design, development, and testing.
• Perform queries, analyses, and evaluations of data in operational systems and data lake house environment.
• Uses data mining and data analysis tools to isolate and extract data based on specific parameters and monitors toll transaction data flow to identify any inconsistencies.
• Gather, review, and analyze business and industry data, including KPIs, financial reports, and other key metrics using data analytics tools.
• Use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to advise your team as they make informed decisions.
• Analyzes data from both internal and external sources to produce insights, identify trends or anomalies, and support business decisions.
• Create reports, dashboards, and visualizations to understand business performance.
• Collaborates with development teams to design business intelligence solutions to facilitate data gathering, storage, retrieval, and, consumption.
• Assess options for process improvement, including business process modeling and mapping.
• Identify automation opportunities and analyze process issues and bottlenecks and make improvements.
• Develop and maintain reporting tools.
• Provide analytical and business support for field operations.

Skills/Experience required

• A minimum of 5+ years of data analyst experience is required.
• 5+ years of SQL experience.
• 3+ years of Excel experience including functions and formulas.
• Excellent analytical, problem-solving, and decision-making skills.
• Willingness to learn new tools and skills and cross-train.
• Strong technical writing (reports and SOPs) experience, for all levels of the organization utilizing MS Office, Visio, Share Point or similar applications.
• Strong oral communication skills.
• Ability to work on multiple projects across the organization collaboratively and proactively.
• Technical expertise in data modeling, data mart design, and the ability to easily extract data from multiple sources.
• Experience with AWS, Azure, SQL Server, Data Warehouse, Azure Data Warehousing, Databricks, and/or Big Data.
• Relevant work experience in Tableau and Qlik View.
• A solid understanding of SQL, rational databases, and normalization.
• Excellent analytical skills.
• Excellent written & oral communication skills.
• Attention to detail and flexibility to work as per the client’s requirement.
• Bachelor’s degree, preferably in a technical discipline (Computer Science, Mathematics, etc.), or equivalent combination of education and experience required.

Competencies

• Tech Savvy - Anticipating and adopting innovations in business-building digital and technology applications.
• Self-Development - Actively seeking new ways to grow and be challenged using both formal and informal development channels.
• Action Oriented - Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm.
• Customer Focus - Building strong customer relationships and delivering customer-centric solutions.
• Optimizes Work Processes - Knowing the most effective and efficient processes to get things done, with a focus on continuous improvement.