Senior Data Analyst

at  PPS Recruitment

JOB ADVERT SUMMARY

Reporting into HR Executive: A&D (with a dotted line to Senior Manager: Business Analytics), the Senior Data Analyst will utilise their analytical, statistical and programming skills to mine, generate, analyse, interpret, and visualise large data sets and deliver on data-driven projects.
The Senior Data Analyst will support stakeholder decision-making with data insights, predictive modelling and transforming data into readable, goal-oriented reports that drive innovation and growth while maintaining the organisation’s BI solutions.

EDUCATION:

• An appropriate bachelor’s degree in (BSc, Mathematics, Computer Science, Statistics or any other relevant field).
• SQL and Power BI certifications are advantageous.

EXPERIENCE:

• 3-5 years in Data Analyst role especially in the insurance industry.
• 3-5 years of experience extracting and aggregating data from large relational databases, data mining and predictive modelling.
• 3–5 years of experience developing data visualization solutions to support users understanding of results.
• 3-5 years of proven experience as a Data Analyst in the Insurance industry.
• Advanced skills in SQL.
• Excellent communication skills and the ability to present complex findings clearly and understandably.
• Strong attention to detail and a commitment to delivering high-quality, accurate analyses.
• Proven experience in Power BI and reporting tools.
• Previous experience in a similar role within the data model operations.
• Data modelling experience.
• Comfortable in mapping business questions to data problems.
• Proven experience in stakeholder management, acting as a business partner across different areas.

KNOWLEDGE & SKILLS

• Advanced working SQL knowledge and relational databases, query authoring (SQL) as well as working familiarity with a variety of databases, technologies, languages and visualisation engines (Power BI, Tableau, etc)
• Knowledge of a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations.
• Knowledge of data visualisation and ways to best convey messages to different audiences using qualitative and quantitative insights.

Competencies:

• Strong Data Management Skills
• Decisiveness
• Strong innovative flair
• Project management skills
• Conceptual skills
• Systems thinking
• Effective communication
• Results Oriented

INTERPERSONAL SKILLS:

• Must be a result-oriented individual, be helpful, be self-motivated, be proactive in going beyond the call of duty, be a creative and strategic thinker, be highly analytical, work comfortably in a constantly evolving environment, work comfortably in a collaborative environment, can multi-task and meet tight deadlines, and have the ability to remain calm in the face of uncertainty and stress.

PEOPLE SKILLS:

• A people-oriented individual who can form strong and meaningful relationships with other people.

OTHER DUTIES:

• Perform similar duties and duties as delegated by the Lime Manager or the Employer.