Senior Data Management Analyst at Q2

Bengaluru, Karnataka, India

Q2 Logo
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
FinTech, Financial Services, BankingIndustries

Requirements

  • Bachelor's degree in a technical field such as computer science, computer engineering, statistics, information systems, informatics or related field
  • 3-5 years experience in related work
  • Experience working with relational databases and query authoring (SQL) as well as working familiarity with a variety of databases
  • Object-oriented/object function scripting languages: Python, Java, C++, Scala, etc
  • Experience performing root cause analysis on internal and external data and processes to resolve issues and answer questions
  • Familiarity with working in an Agile environment and organizational skills
  • Experience supporting and working with cross-functional teams in a dynamic environment
  • 3 years experience using and administering several of the following software/tools: Cloud data warehouses like Snowflake or Azure Synapse or AWS Redshift or Google Big Query; Relational SQL databases like Oracle, SQL server and semi-structured data like JSON responses; Fundamental understanding of application APIs; ETL tools like Fivetran, Matillion etc; Data transformation tools like dbt or Coalesce; Data visualization tools like Power BI, Tableau etc

Responsibilities

  • Triage and troubleshoot internal tickets for the Data and Architecture team
  • Work directly with internal stakeholders across Q2 to answer questions, resolve issues and provide process improvements
  • Provide support-level administration for our data and integration tools (Snowflake, Workato, Fivetran, Coalesce, Power BI, etc.)
  • Support data sets that meet functional / non-functional business requirements within data lake such as Snowflake
  • Assist with loading and updating data from SaaS and/or related data sources
  • Maintain and document the standard operating procedures
  • Assist with data-related technical issues and support data infrastructure needs

Skills

Data Lakes
Data Pipeline
Data Integration
ETL
Data Wrangling
Troubleshooting
SQL
Analytics
Database Architecture

Q2

Digital banking solutions for financial institutions

About Q2

Q2 provides digital banking solutions tailored for regional and community financial institutions, alternative finance and leasing companies, and other financial technology firms. Their products include a range of digital banking services, banking as a service, and lending and leasing options that allow users to conduct transactions and interact with their financial institutions from any device, at any time. What sets Q2 apart from its competitors is its focus on empowering community banks and credit unions, helping them enhance their digital presence and improve user engagement. The company's goal is to strengthen diverse communities by supporting the financial institutions that serve them, enabling these institutions to grow and adapt beyond traditional limits.

Austin, TexasHeadquarters
2004Year Founded
$40.1MTotal Funding
IPOCompany Stage
Fintech, Financial ServicesIndustries
1,001-5,000Employees

Benefits

Hybrid Work Options
Professional Development Budget

Risks

Increased competition from fintechs could erode Q2's market share.
Rapid technological changes may outpace Q2's innovation capabilities.
Economic downturns could reduce financial institutions' spending on digital transformation.

Differentiation

Q2 offers a comprehensive suite of digital banking solutions for financial institutions.
Q2's Partner Accelerator Program enables rapid deployment of fintech integrations.
Q2 Engage focuses on personalized consumer banking experiences to enhance user engagement.

Upsides

Q2 powers 60% of Forbes' America's Best Banks, showcasing its solution effectiveness.
Integration with AI platforms like Personetics enhances personalized customer engagement.
Q2's platform helps financial institutions grow deposits without relying on interest rates.

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