Senior Operations Data Analyst.

Ampcus, Inc

San Francisco (CA)

Hybrid

USD 80,000 - 110,000

Full time

14 days+

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Job summary

A global technology consulting firm is seeking a Senior Operations Data Analyst in San Francisco, CA. The role emphasizes strong data analysis capabilities, particularly in Excel, SAP, and Salesforce. Responsibilities include managing complex data projects, ensuring accuracy in data extraction, and presenting actionable results. Candidates should have a BA/BS degree or equivalent experience with at least 4 years in data analysis. This hybrid position offers opportunities for professional growth and impacts business objectives through data-driven insights.

Qualifications

  • 4 years of related work experience is required.
  • Familiarity with utility operations preferred.
  • Proficiency in graphing and VBA skills needed.

Responsibilities

  • Manage complex data analysis projects with limited supervision.
  • Design data analysis to achieve business objectives.
  • Create automated data routines for reporting and data delivery.

Skills

Strong Excel experience
SAP
Salesforce
Time Management/Organization
Initiative

Education

BA/BS Degree in related field or equivalent work experience

Tools

SQL queries
UNIX shell programming
SAS
Microsoft Access

Job description

Ampcus Inc. is a certified global provider of a broad range of Technology and Business consulting services. We are in search of a highly motivated candidate to join our talented Team.

Job Title: Senior Operations Data Analyst

Location: San Francisco, CA (Hybrid)

Top Things Looking For:
  • Candidate must have strong Excel experience, as well as SAP and Salesforce experience.
  • Candidates will need to proactively reach out and coordinate with all levels of leadership.
  • Must have a proven track record of meeting time-sensitive deadlines.
Top Skill Sets Looking For:
  • Excel, SAP, & Salesforce. Would be great if they have prior Client experience.
Soft Skills:
  • Time Management/Organization
  • Initiative
Responsibilities:

Manages complex data analysis projects with limited supervision from initial request to presenting data results ensuring that the project is completed within budget and on time.

  • Designs data analysis to achieve business objectives, process data, analyze data, write clear and concise data findings and tailor communications to specific audiences. Analyzes data using various statistical tools to develop ad hoc reports, statistics, trends, and profiles.
  • Manages complex data extracts and list pulls ensuring data accuracy. Manages extracting data and transferring the data from databases to various analysts to support operational analysis efforts.
  • Creates complex automated data routines and processes for reporting and data delivery ensuring accurate data manipulation and data cleansing.
  • Demonstrates and utilizes advanced knowledge of data processing and data analysis techniques.
  • Develops and communicates clear, concise, and actionable data analysis for clients.
  • Provides recommendations to enhance database(s) with new data sources and improved data processes.
Knowledge, Skills, and Abilities (Desired):
  • Familiarity with utility operations. Advanced skill in Microsoft Excel/Access (complex formulas, graphing, VBA).
  • Advanced skill in writing SQL queries using Oracle or Business Objects.
  • Proficient in UNIX shell programming (csh, awk, sed, vi).
  • Solid knowledge of base-SAS and programming languages such as Visual Basic, Perl, C.
  • Strong organizational skills, ability to effectively prioritize work, meet deadlines and work on multiple tasks independently.
  • Good communications and presentation skills to deliver findings and make recommendations to stakeholders.
  • BA/BS Degree in Marketing, Business, Computer Science, Engineering or other related field or equivalent work experience.
  • 4 years of related work experience.

Ampcus is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veterans or individuals with disabilities.

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