Data Analyst

Company Description

Hiring Group sets the highest standards in helping companies find the perfect fit, specializing in selecting, retaining, and motivating candidates across multiple industries. Whether you are a startup or a nationwide company, our team provides solutions that match your needs. We contribute to your venture's success by providing superstar candidates who thrive within your company. Our expertise includes searching for software development, marketing, customer service, administrative, and executive staff. Hiring Group offers Equal Employment Opportunities (EEO) to all employees and applicants irrespective of race, color, sex, religion, national origin, age, disability, sexual orientation, genetic information, or reprisal.

We are seeking a highly motivated and detail-oriented Data Analyst to join our team. The Data Analyst will be responsible for CRM Migration, Lead Scoring, Power BI & Analytical SQL. besides collecting, analyzing, and interpreting large datasets to identify trends, patterns, and insights that can drive business decisions. This role requires a strong analytical mind, excellent problem-solving skills, and the ability to communicate complex data findings clearly to non-technical stakeholders. The ideal candidate will transform raw data into actionable intelligence, contributing to strategic initiatives and operational improvements.

Data Collection & Management:

• Gather and extract data from various sources (databases, APIs, spreadsheets, etc.).
• Clean, validate, and organize raw data to ensure accuracy, completeness, and consistency.
• Develop and maintain robust data pipelines and data models for reporting and analysis.

Data Analysis & Interpretation:

• Perform in-depth statistical analysis, trend analysis, and predictive modeling using various analytical techniques.
• Identify key metrics, track performance, and uncover actionable insights from complex datasets.
• Conduct A/B testing analysis and provide recommendations based on results.
• Develop and execute SQL queries to extract, manipulate, and analyze data.

Reporting & Visualization:

• Design, develop, and maintain interactive dashboards and reports using data visualization tools (e.g., Tableau, Power BI, Looker).
• Create compelling visual representations of data that tell a clear story and highlight key findings.
• Automate routine reports and develop self-service analytics capabilities for business users.

Communication & Collaboration:

• Present findings and recommendations to stakeholders across different departments, including management, marketing, product, and operations.
• Collaborate with business users to understand their data needs and translate them into technical requirements.
• Work closely with data engineers and other data professionals to ensure data quality and accessibility.

Problem Solving & Continuous Improvement:

• Proactively identify opportunities for data-driven improvements across the business.
• Troubleshoot data-related issues and ensure data integrity.
• Stay up-to-date with industry best practices, new analytical techniques, and data technologies.
  

Education:

• Bachelor's degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, Business Analytics, or a related discipline. Master's degree preferred.

Experience:

• At least 2 years of experience in a Data Analyst, Business Analyst, or similar role.
• Proven experience with data manipulation, analysis, and visualization.

Technical Skills:

• Proficiency in SQL is mandatory for data extraction and manipulation.
• Strong experience with at least one data visualization tool (e.g., Tableau, Power BI, Looker, Qlik Sense).
• Experience with statistical programming languages (e.g., Python with Pandas/NumPy/SciPy, R) for data analysis and modeling.
• Familiarity with database systems (e.g., MySQL, PostgreSQL, SQL Server, Snowflake, Redshift).
• Advanced proficiency in Microsoft Excel (pivot tables, VLOOKUP, complex formulas).
  

• Experience with big data technologies (e.g., Hadoop, Spark).
• Knowledge of cloud platforms (AWS, Azure, GCP) and their data services.
• Understanding of machine learning concepts and their application in business.
• Experience with web analytics tools (e.g., Google Analytics).
• Strong understanding of business processes and key performance indicators (KPIs) in a relevant industry.
• Excellent communication (written and verbal), interpersonal, and presentation skills.
• Ability to work independently and as part of a team in a fast-paced environment.
• Strong critical thinking and problem-solving abilities with a keen attention to detail.