SideRamp

Data Analyst

SideRamp San Jose, CA
No longer accepting applications

About SideRamp

SideRamp allows professionals to engage with part-time opportunities in the gig economy, offering a centralized platform that manages high-quality, flexible side gigs. We focus on connecting our users to various freelance and part-time work—from discovering opportunities to streamlining the application process.

DATA ANALYST

Seeking an experienced Data Analyst for a manufacturing team specializing in precision engineering and industrial automation. The Data Analyst will be responsible for collecting, analyzing, and interpreting large datasets to help drive data-driven decision-making within the company. You will work closely with various departments, including production, quality control, and supply chain management, to identify trends and opportunities for operational improvements. This role requires strong analytical skills, attention to detail, and proficiency in data analysis tools.

Hourly Commitment: 10 to 15 hours per week

Responsibilities

  • Collect and analyze large datasets from various sources, ensuring data accuracy and integrity.
  • Develop and maintain dashboards and reports to provide insights into key performance indicators (KPIs) and business metrics.
  • Identify trends, patterns, and anomalies in data to help inform strategic and operational decisions.
  • Collaborate with cross-functional teams to understand data requirements and deliver actionable insights.
  • Perform data cleansing and transformation to prepare data for analysis.
  • Utilize statistical methods and data analysis tools to interpret data and generate reports.
  • Present findings and recommendations to management and stakeholders in a clear and concise manner.
  • Continuously improve data collection and analysis processes to enhance data quality and efficiency.

Requirements

  • Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, or a related field.
  • 3+ years of experience in data analysis or a related role.
  • Proficiency in data analysis tools such as SQL, Excel, Python, or R.
  • Experience with data visualization tools such as Tableau, Power BI, or similar.
  • Strong analytical and problem-solving skills with attention to detail.
  • Excellent communication skills to effectively present data insights to non-technical stakeholders.
  • Ability to work independently and as part of a team.
  • Knowledge of data warehousing and database management is a plus.

Preferred Qualifications

  • Master’s degree in a relevant field.
  • Experience in the manufacturing or industrial sector.
  • Certification in data analytics or related fields.
  • Familiarity with machine learning techniques and tools.
  • Knowledge of ERP systems and their data structures.

Note: Job descriptions may have been edited from their original format to ensure fair hiring standards along with consistent formats across all postings. Salary information is not guaranteed and many estimates are based on a yearly, full-time salary. This system can make mistakes.
  • Seniority level

    Mid-Senior level
  • Employment type

    Part-time
  • Job function

    Information Technology
  • Industries

    Operations Consulting

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