Job Description

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 ACCOUNTABILITIESConduct 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 & EXPERIENCEBachelor'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.