Junior Data Analyst

4 days ago

Johannesburg, Gauteng, South Africa The Levelup Full time

Level Up Johannesburg, Gauteng, South Africa

Junior Data Analyst

Level Up Johannesburg, Gauteng, South Africa

Job Overview
We're seeking a motivated Junior Data Analyst to join our dynamic telecommunications team, where data drives innovation and customer satisfaction. In this role, you'll harness your Excel expertise to analyze telecom-specific datasets such as call records, network performance, customer usage patterns, and churn metrics to uncover insights that fuel strategic decisions. You'll work in a fast-paced environment, supporting cross-functional teams to optimize network operations, enhance customer experiences, and boost revenue streams. If you're detail-oriented, curious, and ready to dive into the world of telecom data with a spreadsheet in hand, this is your chance to shine

Key Responsibilities
  1. Data Collection & Preparation:
    • Gather and clean telecom datasets (e.g., call detail records, billing data, network uptime stats) from internal systems and databases.
    • Use Excel to organize raw data, remove duplicates, and handle missing values for accurate analysis.
    • Maintain data integrity by standardizing formats and validating inputs (e.g., customer IDs, timestamps).
  2. Data Analysis & Reporting:
    • Perform exploratory analysis in Excel to identify trends, anomalies, and patterns in telecom metrics like call drop rates, data usage spikes, or customer retention rates.
    • Create pivot tables, charts, and dashboards in Excel to visualize key performance indicators (KPIs) such as network coverage, subscriber growth, or average revenue per user (ARPU).
    • Calculate basic statistical measures (e.g., averages, medians, variances) to support operational insights.
    • Prepare weekly and monthly reports for stakeholders, summarizing findings in clear, actionable formats.
  3. Support Telecom Operations:
    • Assist in monitoring network performance metrics (e.g., signal strength, latency) using Excel-based tools and templates.
    • Analyze customer churn data to pinpoint reasons for attrition and suggest retention strategies.
    • Support pricing and tariff analysis by modeling usage trends and revenue impacts in Excel.
  4. Collaboration & Communication:
    • Work with network engineers, marketing teams, and customer service reps to understand data needs and deliver tailored insights.
    • Present findings in team meetings, using Excel visuals to explain trends (e.g., peak call times, regional data usage).
    • Respond to ad-hoc data requests from managers, providing quick-turnaround Excel solutions.
  5. Process Improvement:
    • Identify opportunities to streamline data processes using Excel macros or advanced functions (e.g., VLOOKUP, INDEX-MATCH).
    • Maintain documentation of analysis methods and Excel workflows for team reference.
Qualifications & Experience
  1. Education:
    • Bachelor's degree in Data Analytics, Statistics, Mathematics, Computer Science, Telecommunications, or a related field (or equivalent experience).
  2. Experience:
    • 0-2 years of experience in data analysis, preferably in telecommunications, IT, or a data-heavy industry.
    • Proven proficiency in Microsoft Excel (intermediate to advanced level required).
    • Exposure to telecom datasets (e.g., call logs, billing records) or customer analytics is a plus but not mandatory.
  3. Certifications (Optional but Advantageous):
    • Microsoft Office Specialist (MOS): Excel.
    • Basic certification in data analysis (e.g., Google Data Analytics, Coursera Data Analyst).
Skills & Competencies
  1. Technical Skills:
    • Excel Proficiency: Mastery of pivot tables, charts, VLOOKUP, HLOOKUP, INDEX-MATCH, conditional formatting, and basic formulas (e.g., SUMIFS, COUNTIFS).
    • Data Cleaning: Ability to handle large datasets in Excel, including filtering, sorting, and text-to-columns.
    • Visualization: Skill in creating clear, impactful visuals (e.g., line graphs, bar charts) for telecom KPIs.
    • Familiarity with SQL, Python, or Power BI is a bonus but not required.
    • Basic understanding of telecom concepts (e.g., network metrics, subscriber data) is desirable.
  2. Analytical Skills:
    • Strong problem-solving ability to break down telecom business questions into data-driven answers.
    • Keen attention to detail for spotting errors or trends in call records or usage stats.
    • Comfort with numbers and statistical basics to interpret averages, percentages, and outliers.
  3. Soft Skills:
    • Communication: Ability to explain technical insights to non-technical telecom teams (e.g., sales, operations).
    • Time Management: Capacity to juggle multiple analysis tasks and meet deadlines in a fast-moving industry.
    • Teamwork: Collaborative spirit to support cross-functional telecom projects.
    • Curiosity and eagerness to learn about telecom operations and data applications.
Tools & Technologies
  • Required: Microsoft Excel (intermediate-advanced).
Seniority Level
  • Entry level
Employment Type
  • Full-time
Job Function
  • Information Technology
  • Marketing Services
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