Data analyst candidate in Cranmore, England, United Kingdom

Summary

Analytical and results-driven professional with proven track record in extracting actionable insights from complex datasets.
Detailed-oriented, proficient in Excel, SQL, and data visualisation tools, including Tableau and Power BI. Possess strong and
analytical skills in statistical, qualitative, and quantitative analysis. Skilled in developing interactive dashboards and reports
to facilitate data-driven decision-making. Adapt at collaborating with cross-functional teams and presenting findings through
compelling presentations.
Technical Skills
Data Mining and ETL (Extract, Transform, Load) | Advanced Excel: VBA, VLOOKUP, Macros, SUMIFS, Pivot Tables, Power Query,
Conditional Formatting, Charts | Google Sheets | SQL: Microsoft SQL Server, Big Query, MySQL, Microsoft Slack | Data
visualisation tools, PowerPoint, Tableau and Power BI | Data Mining | Quantitative / Qualitative Analysis | Data Analysis
Career Experience
Digital Echoes, UK January 2023 October 2023
Data Analyst
Produced sales, site traffic, and user activity reports through creation of dashboards using Power BI and Tableau. Ensured
data quality by collaborating with team of five data analysts, conducting statistical analyses to correlate facts and figures.
Gathered, analysed, and interpreted consolidated data to facilitate informed decision-making processes. Employed data
analytics software to extract necessary information from diverse sources for analysis. Developed data analysis reports and
presentations in PowerPoint for client and management review. Fostered collaboration with cross-functional teams, including
marketing, sales, and product design, to enable data-driven decision-making and uncover business optimisation possibilities.
Forecasted sales revenue, marketing trends, and sales patterns, allocating advertising resources to specific markets and
demographics based on data insights.
Evaluating and reviewing comprehensive reports and performance indicators to filer and clean, and to locate and
correct issues relating to data.
Supervised team of five data analysts to investigate digital marketing efforts, identify optimisation opportunities,
and increase ROI by 80%.
Utilised Excel and SQL to analyse sales data for retail organisation, offering actionable recommendations through
interactive Power BI dashboards, resulting in 20% sales increase.
Collaborating with senior management teams to prioritize business requirements and to locate and define
opportunities for process improvements.

Expectations

Here are some key things i should expect and look out for when starting a new job role:

1. Onboarding and Training: Expect and ensure you receive proper onboarding, introductions across teams, system access, and any specific job training needed to get up-to-speed. The first weeks should help assimilate smoothly.

2. Role Clarity: I Seek a clear understanding from your manager about my core responsibilities, performance metrics, short and long-term goals and priorities for the role by asking clarifying questions.

3. Feedback and Support: i expect managers and colleagues to provide constructive feedback and some mentoring as i learn the ropes. Seek this proactively if it is not forthcoming. Also have regular check-ins with my manager about my progress.

4. Relationship Building: Make concerted efforts to actively build connections and working relationships with colleagues and key cross-functional partners. Network internally and collaborate.

5. Resources Allocation: i expect to be provided with proper tools, systems access, budgets and other practical resources required for you to effectively fulfill my duties and produce quality results. I will ask if some resources are missing.

6. Work/Life Balance: Understand any work from home flexibility, work hours expectations, and to ensure proper work-life balance exists despite new-job.