Data Analyst at Bizmod Consulting

Bizmod Consulting is looking for intermediate to senior Data Analyst candidates for contract work in a corporate, financial environment. A minimum of 4+ years’ Data Analysis experience is imperative.

The Data Analyst will be responsible for data analysis and related functions and provide support primarily on a Hadoop team. This person will play a vital role in the ability to provide informed data decisions backed up by facts. Must be eager to wear multiple hats and be capable of picking up new technologies at a fast pace. Must possess the competencies to analyse data and to propose and help implement quality solutions to meet business objectives.

EXPERIENCE & QUALIFICATIONS:

• 4+ years’ Data Analysis experience
• Proven / solid experience working with Hadoop
• Tertiary qualifications, majoring in either: Computer Science, Information Systems or similar
• In-depth knowledge of Data Warehouse and Big Data best practices
• Good knowledge of database structures, theories, principles, and practices
• Analytical and problem-solving skills, applied to Big Data domain
• Good understanding of data ITIL
• Must understand the need to align the IT and business strategies
• Good aptitude in multi-threading and concurrency concepts (advantageous)
• Certification in Hadoop Development (advantageous)

BEHAVIOURAL SKILLS:

• Building and maintain relationships
• Willing to learn
• Collaborative mindset
• Adopt a broad, long-term perspective
• Strategic mindset when designing solutions that enable standardization and efficiency
• Contribute to the success of the team; co-operate with other employees to improve personal and team performance

COMPETENCIES & ATTRIBUTES:

• Team player & ability to work closely with others
• Logical and analytical thinking
• Attention to detail
• Investigation and information gathering skills
• Problem solver / solution provider
• Passionate about BI and data integration
• Committed, self-driven & highly motivated individual
• Adaptable; be able to handle change effectively
• Effective written and verbal communication skills
• Delivering results and Meeting customer expectations
• Able to work by themselves and in a team.

KEY RESPONSIBILITIES:

• Add value to business owners by understanding business objectives and by highlighting opportunities and suggesting innovative solutions
• Highlight the impact of solutions on business processes, systems and people
• Create an understanding of the gap between the current situations and the proposed solution
• Transform business requirements to a level of detail appropriate for implementation
• Anaylize and document correctly and clearly, using appropriate artefacts like processes diagrams; data models; business rules; wireframes / mock-ups;
• Ability to perform data quality checks in a methodical manner to understand how to accurately utilize client data.
• Provides solutions for data driven applications involving large and complex data
• Source system understanding and analysis.
• Propose best practices/standards.
• Manage personal delivery on projects and enhancements
• Ensure personal service level agreement standards are met
• Translate business requirements into system requirements
• Ensure personal adherence to agreed governance procedures
• Proactively identify and manage risks
• Responsible for working with analysts, managers, and executives to understand business needs and working with source owners to understand the data sources.
• Translate business and technical requirements into efficient sustainable solutions
• Be able to do gap and impact analysis on the requirement
• Do QA on designs and development and completed projects as required
• Complete documentation of requirements and development according to defined standards.
• Deliver necessary documentations where required

Technical Analysis and Design

• Analyse business requirements and translate them into technical and system requirements to best satisfy these requirements
• Write and maintain technical documentation

Advisory Function

• Conducting full lifecycle analysis to include requirements, activities and design
• Develop analysis and reporting capabilities
• Monitor performance and quality control plans to identify improvements

Solution Providing

• Design the solution
• Design various solutions to ensure accessibility to data
• Involved in project where specific data is required for business consumption
• Design solutions that are flexible, scalable and reusable based on team coding standards and guidelines
• Designing innovative and customised Data Analytics solutions

Data Management and MI Development

• Perform data extractions from various sources according to specified data requirements.
• Keep up to date with the data elements that are available within the company.
• Investigate in accordance to business requirements, the availability of appropriate data to facilitate delivery.
• Ensure appropriate application of error handling and data “clean-up” methodology to provide credible output.
• Ensure data / source consistency and integrity
• Ensure that data quality controls are followed in the development lifecycle and throughout the data information lifecycle
• Innovation value add where gaps are identified

Governance:

• Ensure that governance is adhered to in the context of a Bid Data environment (specifically related to the working area)

General

• Ensure knowledge is shared amongst peers through various mentoring initiatives
• Ensure accurate and comprehensive documentation is established and maintained

Proactive Team Support

• Provide proactive, on-going support to cross functional teams and team members in order to support a mature work environment