Data Analyst

Connexzia

$80K — $95K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in a relevant field such as Data Science or Statistics.
  • 3+ years of experience in data analytics.
  • Proficiency in SQL, Python, R, or similar tools.
  • Experience with data visualization tools (Tableau, Power BI).
  • Strong understanding of statistical analysis and data modeling.
  • Excellent problem-solving abilities and attention to detail.
  • Ability to convey complex data to non-technical audiences.

Responsibilities

  • Collect, clean, and analyze large datasets to identify trends.
  • Develop and maintain dashboards and reports using visualization tools.
  • Utilize statistical techniques to interpret data and generate recommendations.
  • Collaborate with cross-functional teams to address business needs.
  • Ensure data integrity by implementing best practices in management.
  • Automate data processes to enhance reporting efficiency.
  • Present analytical findings to stakeholders clearly.

Benefits

  • Opportunities for professional development and training.
  • Flexible work environment and potential remote work options.
  • Collaborative team culture that values input and innovation.
Full Job Description
Job Description:

We are seeking a detail-oriented Data Analyst to join our team. In this role, you will be responsible for collecting, analyzing, and interpreting large datasets to provide actionable insights that drive business decisions. The ideal candidate has strong analytical skills, proficiency in data visualization tools, and experience working with databases and statistical analysis.

Key Responsibilities:
  • Collect, clean, and analyze large datasets to identify trends and insights.
  • Develop and maintain dashboards, reports, and data visualizations using tools like Power BI, Tableau, or Excel.
  • Use statistical techniques to interpret data and provide recommendations.
  • Work closely with cross-functional teams to understand business needs and provide data-driven solutions.
  • Ensure data integrity and accuracy by implementing best practices for data management.
  • Automate data processes and improve reporting efficiency.
  • Present findings to stakeholders in a clear and concise manner.

Requirements:
  • Bachelors degree in Data Science, Statistics, Computer Science, Business Analytics, or a related field.
  • 3+ years of experience in a data analytics role.
  • Proficiency in SQL, Python, R, or other data analysis tools.
  • Experience with data visualization platforms like Tableau, Power BI, or Google Data Studio.
  • Strong understanding of statistical analysis and data modeling.
  • Excellent problem-solving skills and attention to detail.
  • Ability to communicate complex data insights to non-technical stakeholders.

Preferred Qualifications:
  • Experience with machine learning, predictive analytics, or AI-driven analytics.
  • Familiarity with cloud platforms such as AWS, Google Cloud, or Azure.
  • Experience in a specific industry (e.g., finance, healthcare, e-commerce) is a plus.
  • 3 years of experience working cross-functionally (e.g., with marketing, sales, product, and operations) to understand business needs and align data projects with organizational goals.
  • Experience with Predictive Analytics: Knowledge of predictive modeling, machine learning, or forecasting methods.
  • Advanced Excel skills, including macros, pivot tables, and complex formulas.


Required Skills:
• Pivot Tables
• Azure
• Business Analytics
• Analysis
• Modeling
• Data Modeling
• AWS
• Attention To Detail
• Excel
• Visualization
• Data Integrity
• Data Management
• Data Visualization
• Healthcare
• Data Science
• Data Analytics
• E-commerce
• Analytical Skills
• Statistics
• Machine Learning
• R
• Forecasting
• Analytics
• Tableau
• Power BI
• Databases
• Data Analysis
• Computer Science
• Finance
• Python
• SQL
• Marketing
• Business
• Science
• Sales
• Management

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