Data Analyst

Intro

Data Analyst

Key Responsibilities

Data Collection & Management

• Collect, consolidate, and validate data from various internal and external sources (e.g., CRM, ERP, marketing platforms, operational systems).
• Maintain and improve data quality, integrity, and accuracy through regular audits, reporting and data cleansing processes.
• Develop and manage data pipelines and workflows for repeatable analysis.
  

Data Analysis & Reporting

• Analyze large datasets to uncover insights related to business performance, customer behavior, operations, and market trends.
• Translate business requirements into data models and analytics solutions.
• Build and maintain dashboards, reports, and visualizations using tools such as Power BI, Tableau, or Excel.
• Perform ad hoc analyses to support various teams including marketing, finance, operations, management, and product engineering.
  

Business Collaboration

• Collaborate with stakeholders to understand business needs and develop analytical solutions that support strategic goals.
• Communicate findings clearly and effectively to non-technical audiences through presentations, summaries, and visualizations.
• Make recommendations based on data-driven analysis to improve processes, increase revenue, or reduce costs.
  

Data Governance & Compliance

• Ensure compliance with data privacy regulations (e.g., GDPR, CCPA) and company data governance policies.
• Maintain documentation for data sources, definitions, and methodology used in reporting and analysis.
  

Qualifications

Education:

• Associates degree in Data Science, Statistics, Mathematics, Computer Science, Economics, Business Analytics, or a related field.
• Bachelor’s degree (preferred, but not required).
  

Experience

• 2–5 years of experience in data analysis, business intelligence, or a related field.
• Proven track record of solving real-world problems using data-driven approaches.
  

Technical Skills

• Proficiency in data analysis tools such as SQL, Python, or R.
• Experience with data visualization tools like Power BI or Tableau.
• Familiarity with data warehousing and database systems (e.g., MySQL, Snowflake, etc.).
• Solid Excel skills including advanced formulas, pivot tables, and charts.
  

Soft Skills

• Strong analytical thinking and problem-solving skills.
• Attention to detail and a high standard for data accuracy.
• Effective communication and presentation skills.
• Ability to work independently and manage multiple projects simultaneously.
• Curiosity and passion for using data to tell stories and influence decisions.
  

Preferred Certifications

• Microsoft Certified: Data Analyst Associate (Power BI)
• SQL or Python certifications (e.g., from DataCamp, Coursera, or Udemy)
  

Working Conditions

• Hybrid or remote work model available depending on organizational policy.
• Interaction with global teams or vendors may require flexibility in working hours.
  

What We Offer

• Competitive benefit package including health, dental, disability, life, and voluntary insurance options
• Time to recharge through PTO, plus 10 annual holidays, and parental leave
• Work-life balance with a flexible work schedule so you can focus on professional and personal priorities
• Retirement preparation with a 401(k) and company matching
• Financial support for continuing education
• Employee Assistance Program
• An equal opportunity employer committed to creating a diverse and inclusive workplace
  

What’s it like to work at FLSmidth