Data Analyst

Job Description – Data Analyst Engineer

. Data Collection and Management

· Gather data from various sources, such as databases, surveys, or APIs.

· Clean, preprocess, and organize raw data for analysis.

· Ensure data integrity by identifying and resolving discrepancies.

1. Data Analysis and Interpretation

· Analyze data to identify patterns, trends, and correlations.

· Perform statistical analysis to test hypotheses or forecast outcomes.

· Use techniques like data mining, clustering, and regression analysis.

1. Reporting and Visualization

· Create clear and compelling reports, dashboards, and visualizations using tools like Excel, Tableau, Power BI, or Python libraries (e.g., Matplotlib, Seaborn).

· Summarize findings in a way that is understandable to non-technical stakeholders.

· Develop key performance indicators (KPIs) to monitor performance metrics.

1. Business Insights and Recommendations

· Translate analytical findings into actionable business strategies.

· Advise decision-makers on trends and anomalies impacting operations.

· Propose solutions to improve processes, reduce costs, or increase efficiency.

1. Collaboration

· Work with cross-functional teams, such as security, marketing, finance, and operations, to understand their data needs.

· Collaborate with data engineers to improve data pipelines and infrastructure.

· Communicate effectively with both technical and non-technical stakeholders.

1. Tools and Technology Utilization

· Use analytics tools like SQL, Python, R, or SAS for data querying and processing.

· Leverage advanced techniques, such as machine learning models, when necessary.

· Stay updated on new tools and technologies in the field of data analytics.

1. Data Governance and Compliance

· Ensure data usage complies with legal and regulatory requirements.

· Maintain confidentiality and security of sensitive information.

· Document methodologies, processes, and assumptions for transparency.

1. Continuous Improvement

· Evaluate the effectiveness of current analytics practices.

· Identify opportunities for improving data collection, storage, and analysis methods.

· Stay informed about industry trends and innovations.

Kavaliro provides Equal Employment Opportunities to all employees and applicants. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Kavaliro is committed to the full inclusion of all qualified individuals. In keeping with our commitment, Kavaliro will take the steps to assure that people with disabilities are provided reasonable accommodations. Accordingly, if reasonable accommodation is required to fully participate in the job application or interview process, to perform the essential functions of the position, and/or to receive all other benefits and privileges of employment, please respond to this posting to connect with a company representative.