Data Analyst at Vito Solutions

JOB OVERVIEW:

• Guided by Lead Analyst(s), this role will be responsible for sourcing and transforming a wide range of data across the business into formats that can be used by end users to develop differentiating business insights. We are looking for an individual with experience in using a variety of data tools, analysis methods, and data visualization to turn data into actionable insights with demonstrable business impact. They will assist in specifying complex business rules using the specified toolsets to enable the data modelers to create complex analytical models. Hence, they need to understand and continuously seek to build knowledge of data and information.
• The person fulfilling this role will not only analyze data models but also test the outputs, investigate & troubleshoot data issues and devise solutions in line with best practices. High competency in problem-solving capabilities is thus essential. They should be able to communicate business information to technical teams, as well as be competent in communicating challenges and solutions to the team. An understanding of data management solutions and a keen sense of the strategic value of information to an organization will be important.
• You will be responsible for the end-to-end tasks within the data analysis framework working with business representatives, product owners, etc. to define and elicit requirements, analyze data and create reports/dashboards.

DESCRIPTION OF POSITION:

Data Preparation:

• Acquire data from various data sources and combine & transform data into interpretable datasets, reports, or dashboards
• Assess the effectiveness and accuracy of new data sources and data-gathering techniques
• Extend the company data with third-party sources of information when required
• Process, cleanse, and verify the integrity of data used for analysis
• Perform data profiling of data contained in source systems
• Provide detailed analysis of all data implemented into the database
• Provide the data mapping and associated transformation rules for each data item
• Ensure that the business requirements and subsequent development activities are supported by accurate information.

Analysis and Visualization:

• Interpret data, analyze results using analytical techniques, and provide reports and/or dashboards
• Identify, analyze, and interpret trends or patterns in complex data sets
• Use data to answer key questions about the business.
• Own and maintain dashboards, ongoing reporting, and ad hoc requests from the organization.
• Support and maintain the project data models at multiple levels of detail and functionality (conceptual, logical, normalized, relational, dimensional, application level, subject level, integrated, etc.)
• Assist Data Modelers to draw up detailed data models.

Stakeholder Engagement:

• Work directly with management and other business users to gather requirements, provide status updates, and build relationships
• Present information using data visualization techniques
• Facilitate of requirements gathering workshops with the business
• Collaborate with internal and external stakeholders to analyze information needs, functional requirements, and business processes

Coaching/Mentorship:

• Provides problem-solving assistance to other team members
• Coach and assist junior team members; i.e. Junior Analysts

KNOWLEDGE AND SKILLS:

• Knowledge of reporting packages
• Adept at queries, report writing, and presenting findings for stakeholder use
• Ability to translate business requirements into non-technical terms
• Ability to comply with and manage data assets under a strict governance framework
• Proven SQL skills
• Strong analytical-thinking and problem-solving abilities
• Ability to collect, organize, analyze, and disseminate significant amounts of information
• Attention to detail and accuracy

Competencies:

• Decision Quality: Making good and timely decisions that keep the organization moving forward.
• Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences.
• Ensures Accountability: Holding self and others accountable to meet commitments.
• Business Insight: Applying knowledge of business and the marketplace to advance the
• organizations goals.
• Balances Stakeholders: Anticipating and balancing the needs of multiple stakeholders.
• Manages Ambiguity: Operating effectively, even when things are not certain or the way forward is not clear.
• Nimble Learning: Actively learning through experimentation when tackling new problems, using both successes and failures as learning fodder.

QUALIFICATIONS REQUIRED:

• Diploma/Bachelor Degree (Information Systems; Statistics; Data or Computer Science; Engineering) or equivalent

EXPERIENCE REQUIRED:

• Functional experience in analytics, data visualization & reporting
• 2-5 years experience with performing data analysis in a BI environment
• Experience working with data in various data sources and databases
• Demonstrated experience in handling large data sets and relational databases with proven SQL skills
• Experience in agile development

ADVANTAGEOUS SKILLS:

• Business experience in financial services
• Ability to work with data profiling, data quality, and reference data toolsets