Technical Data Analyst

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Company Description

Why 2nd Watch

2nd Watch is in growth mode, and we are looking for outcome driven, focused team members who want to win and have fun doing it! We are looking for the most technically forward-thinking, cloud-passionate employees in the world, and strive daily to align our core values with those that we hire. 

2nd Watch has a unique company culture and working environment that live and breathe success and promote pushing the envelope every day in your respective role at the company. This is what drives our teams – a perpetual thirst for knowledge, and a desire to work with the best people and take on big challenges together. Getting our attention takes creativity, integrity, a desire to improve yourself and your co-workers each day, and a track record of caring about who you are affecting, both positively and negatively, while you are getting the right stuff done.

About 2nd Watch

As a cloud native company, 2nd Watch has walked alongside our clients for over a decade helping them migrate to the cloud, accelerate application development, and deliver on their company’s strategic goals through the blend of technology and innovation that is at our core. Our services deliver cloud native capabilities through strategic consulting, modernization services, and specialized technology practices focused on maximizing the value of public cloud through:

· Business Transformation

· Cloud Advisory

· Datacenter Migration, Infrastructure & Architecture

· Application Modernization

· Optimization

· Data and Analytics Advisory

· Data Management

· Analytics

· Data Science

· Compliance, Security & Business Continuity

· DevOps

· Managed Cloud Service

Job Description

Position Title:

Technical Data Analyst 

2nd Watch has an opening for an Sr. Cloud Economics Technical Analyst to join our team! Located in Liberty Lake, Washington the Sr. Optimization Technical Analyst will be responsible for analyzing cloud based customer usage patterns for trends and variances which support overall optimization of customer spend. Additionally, they will provide meaningful insights to internal business units in support of customer facing value propositions and developing internal efficiencies. The OTA will also assist in developing our Enterprise Data Lake (EDL)which supports actionable intelligence to internal business units and our customers.

Scope and Accountability

  • Works collaboratively as a member of the 2nd Watch team to manage data flows from a variety of systems into the EDL. Leverages data warehousing concepts to develop efficient processes to manage large amounts of data monthly.
  • Collaborates with member of the Product Development team to design, build and optimize reporting solutions using cloud native technologies such as Redshift.
  • Collaborates with the account managers to assist in providing cost optimization recommendations for clients as requested by account managers and as part of the Optimization Team.
  • Collaborates with sales teams to provide analytics and business value cases for products related to cost optimization and future product features targeted at Cloud provider billing file consumption or utilization KPI’s.
  • Collaborates with cross functional stakeholders on monthly dashboards, reports, Financial and Margin analytics, including margin and profitability by client. 
  • Intermediate SQL knowledge, including query building and query optimization
  • Experience with data ingestion, cleaning, and validation methodologies
  • Experience with dashboarding tools such as Power BI, Tableau, etc
  • Experience with or strong desire to learn dbt (data build tool)
  • Experience with data warehousing technologies in the cloud such as Redshift and RDS
  • Experience or desire to learn how to perform analysis in some non-SQL based language such as Python, R, etc
  • Familiarity with Snowflake as a data warehousing tool


Desired Skills and Experience

  • 2+ years of experience in data modeling, analytics and scenario management.
  • Ability to work with customers to understand current and emerging needs and translate into product requirements.
  • Proficiency with Multi-Cloud Technologies at the enterprise level (AWS, Azure, GCP)
  • Expertise in managing large data sets with the ability to provide actionable insights through analytics and business needs.
  • Ability to translate complex analytics into consumable intelligence for varying level of end-users.

Qualifications

Desired Skills and Experience

  • 2+ years of experience in data modeling, analytics and scenario management.
  • Ability to work with customers to understand current and emerging needs and translate into product requirements.
  • Proficiency with Multi-Cloud Technologies at the enterprise level (AWS, Azure, GCP)
  • Expertise in managing large data sets with the ability to provide actionable insights through analytics and business needs.
  • Ability to translate complex analytics into consumable intelligence for varying level of end-users.

Additional Information

Benefits and Perks of working at 2nd Watch

Beyond an amazing, collaborative work environment, great people and inspiring, innovative work, we have some great benefits and perks:

Competitive salaries and all employees are bonus eligible

  • 401(k) with company stock plans to all employees
  • 100% paid medical, dental and vision coverage for all employees and up to 90% paid for family, along with other wellness and disability plans
  • No limit / regulation on Paid Time Off – We let you manage yourself.

All your information will be kept confidential according to EEO guidelines.

2nd Watch is an equal opportunity employer. We celebrate diversity and we are committed to creating an inclusive environment for all employees. 2nd Watch does not discriminate in employment on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, parental status, military service, or other non-merit factor.

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