Data Analyst at Intellinexus

Overall purpose of the role

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.

Main responsibilities

• 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's 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.

Qualification and experience

• Diploma/Bachelor Degree (Information Systems; Statistics; Data or Computer Science; Engineering) or equivalent
• 3 to 5 years of experience performing data analysis.
• Knowledge of and experience with reporting packages.
• Understand database tech components
• Worked with Metadata
• Worked with data profile index

Role 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.

Skills

• Ability to translate business requirements into non-technical terms.
• Strong analytical thinking and problem-solving abilities.
• Ability to collect, organize, analyze, and disseminate significant amounts of information.
• Attention to detail and accuracy.