Data Analyst

Job Title: Data Analyst
Job Type: [Full-time]

Key Responsibilities:

• Data Collection & Cleaning:
• Gather and organize large datasets from various sources such as databases, spreadsheets, APIs, or other data storage systems.
• Clean, transform, and validate data to ensure accuracy and completeness.
• Identify and correct data inconsistencies or errors.
• Data Analysis:
• Analyze data to identify trends, patterns, and correlations using statistical techniques and tools.
• Conduct exploratory data analysis (EDA) to understand the characteristics of the dataset.
• Generate actionable insights from data to support business decisions and objectives.
• Reporting & Visualization:
• Create visualizations such as charts, graphs, and dashboards to present findings in a clear, actionable manner (using tools like Tableau, Power BI, or Excel).
• Develop regular and ad-hoc reports that summarize key metrics and insights for stakeholders.
• Present findings to management, executives, and other team members in a clear, concise manner.
• Data Modeling & Forecasting (optional depending on the role):
• Build simple models for data predictions and forecasting.
• Use techniques such as regression analysis, time-series analysis, or other modeling methods to predict future trends or behavior.
• Collaboration:
• Work closely with business leaders, managers, and other departments to understand their data needs and provide analytical support.
• Collaborate with data engineers and IT teams to improve data processes and enhance data accessibility.
• Database Management:
• Ensure data is properly stored, organized, and easy to retrieve.
• Write SQL queries to extract, manipulate, and analyze data from relational databases.
• Manage and optimize data collection tools and databases.
• Continuous Improvement:
• Continuously improve data processes and workflows to ensure that data handling is efficient and effective.
• Stay updated on industry trends, tools, and techniques in data analysis.

Required Skills and Qualifications:

• Educational Background:
• Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or related field.
• Technical Skills:
• Proficiency in SQL for querying databases.
• Experience with data analysis tools such as Excel, R*, Python*, or other statistical software.
• Familiarity with data visualization tools such as Tableau, Power BI, or Google Data Studio.
• Experience with data cleaning and wrangling techniques.
• Knowledge of statistics and ability to apply statistical methods to data analysis.
• Soft Skills:
• Strong problem-solving abilities and analytical thinking.
• Excellent communication skills to translate complex data into actionable insights.
• Detail-oriented with the ability to spot trends and anomalies in large datasets.
• Strong organizational skills and ability to manage multiple tasks or projects simultaneously.

Preferred Qualifications (optional):

• Experience with machine learning or basic predictive modeling techniques.
• Knowledge of big data technologies like Hadoop or Spark.
• Experience with programming languages such as Python (pandas, NumPy, matplotlib) or R.
• Familiarity with cloud computing platforms such as AWS, Google Cloud, or Azure.
• Prior experience in specific industries such as finance, healthcare, marketing, or retail.

Job Type: Full-time

Pay: $79,505.00 - $120,944.00 per year

Schedule:

• Monday to Friday

Education:

• Bachelor's (Required)

Ability to Commute:

• Chicopee, MA 01020 (Required)

Willingness to travel:

• 100% (Required)

Work Location: In person

Salary : $79,505 - $120,944