1 of 5 free roles viewed today. Upgrade to premium for unlimited from only $19.99 with a 2-day free trial.

Sr. Data Analyst

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Sr. Data Analyst in Mountain View, CA, requiring 8+ years of experience, expertise in Python, SQL, ETL, and data warehousing, with strong analytical skills. Experience in the payments or banking industry is a plus. Contract length and pay rate are unspecified.
🌎 - Country
United States
💱 - Currency
$ USD
💰 - Day rate
Unknown
Unknown
🗓️ - Date discovered
April 5, 2025
🕒 - Project duration
Unknown
🏝️ - Location type
On-site
📄 - Contract type
Unknown
🔒 - Security clearance
Unknown
📍 - Location detailed
Mountain View, CA
🧠 - Skills detailed
#Data Analysis #Leadership #Python #React #Redshift #AWS (Amazon Web Services) #SQL (Structured Query Language) #Athena #Stories #"ETL (Extract #Transform #Load)" #S3 (Amazon Simple Storage Service) #Tableau #AWS S3 (Amazon Simple Storage Service)
Role description
You've reached your limit of 5 free role views today.
Upgrade to premium for unlimited access - from only $19.99.

Role : Sr Data Analyst Local to Mountain View CA

Location : Mountain View CA (100% Onsite)

5 Days onsite

8+ years of experience

Python

SQL

ETL

Data Warehousing

AWS (S3) Athena, Redshift

Good to have- Qliksense/Tableau/Quick Sight(Not mandt but good to have)

7-10 years of experience working in product, customer, or other related analytics function Highly proficient , SQL, Tableau, and Excel.

Working knowledge in Python Strong analytical and problem-solving skills: able to develop and use structured approaches to identify root causes and recommend resolutions: can present results in meaningful terms Ability to narrate complex stories with data and be concise in the insights and how they drive outcomes with leadership and stakeholders.

Ability to manage multiple projects simultaneously to meet objectives and deadlines.

Proactive and inquisitive learner seeks out and capitalizes on opportunities for change that enhance the business, rather than reacting to circumstances.

Strong organizational skills, time management, portfolio prioritization experience, and accountability required. Experience in payments, banking or lending industry is a plus.

Experience with ETL , Data warehousing and business data analysis.