SENIOR ANALYST - DATA ANALYTICS

JOB PURPOSE

The Senior Analyst - Data Analytics is responsible for utilizing advanced techniques and technologies to derive insights from complex datasets and promote data-driven decision-making within the organization. This role is crucial for designing and implementing data analytics models, algorithms, and dashboards that monitor Key Performance Indicators (KPIs) and support proactive decision-making.

By keeping up with the latest trends and emerging technologies in data analytics, the Senior Analyst will enhance the organization's analytical capabilities, improve data-driven strategies, and help achieve strategic objectives.

KEY ACCOUNTABILITIES

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  Conduct data analysis to identify trends, patterns, and correlations.

• Develop and implement data analytics models, algorithms, and dashboards to track and monitor key performance indicators (KPIs).

• Collaborate with stakeholders to understand business requirements and translate them into data analytics projects.

• Perform statistical analysis and data modeling to develop predictive and prescriptive analytics solutions.

• Prepare and present reports, visualizations, and recommendations to stakeholders.

• Assist in data quality assurance activities, including data cleansing and validation.

• Support the implementation and maintenance of data analytics tools and platforms.

• Stay up to date with industry trends and emerging technologies in data analytics to recommend innovative solutions.

• Collaborate with cross-functional teams to integrate data analytics into business processes and decision-making.

• Adhere to data security, privacy, and compliance policies and regulations.

Technical Responsibilities:

• Proficiency in data analysis tools and software such as Power BI, SQL, Python, R, and Tableau.

• Strong knowledge of statistical analysis methods, data visualization techniques, and data mining concepts.

• Familiarity with data manipulation and transformation techniques.

• Understanding of basic machine learning algorithms and their application in data analytics.

• Ability to work with large datasets and perform data cleansing and manipulation.

EDUCATION & EXPERIENCE

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  Bachelor's degree in a relevant field such as Data Science, Statistics, Mathematics, or Computer Science.

• Proven experience of at least 2 years in data analytics or a related field

• Strong analytical and problem-solving skills, with the ability to derive insights from complex data sets.

• Proficient in data analysis tools and programming languages.

• Excellent communication and presentation skills.