Data Analytics Lead

Posted 2024-08-26

💎 Seniority level: Lead, 10+ years

🔍 Industry: Payment Services

🗣️ Languages: English

⏳ Experience: 10+ years

🪄 Skills: AWSLeadershipPostgreSQLSQLBusiness IntelligenceETLMySQLOracleQlikViewTableauStrategyCommunication Skills

10+ years in Data/BI/Analytics/Reporting roles.
2+ years in a similar team management role with a strong technical focus.
Proven analytical and quantitative ability with a passion for enabling users to leverage data.
Strong knowledge and advanced usage of SQL.
Experience with BI solutions like QuickSight, Tableau, QlikView, Power BI.
Experience with data modeling and reporting.
Experience with warehousing, DB optimizations, and ETL/ELT processes.
Familiarity with different DB engines like PostgreSQL, MySQL, Oracle, SQL Server.
Desire to work with AWS cloud tools such as AWS Glue, QuickSight, Redshift, and S3.
Highly proficient in spoken and written English.
Excellent communication skills and a motivated team player.

Lead and mentor the Data Analytics team by overseeing day-to-day activities, setting goals, and performing reviews.
Interface with the Senior Management Team and other senior leadership to identify innovative uses of data and drive BI and analytics strategy.
Guide the design and implementation of successful data solutions through business intelligence tools.
Work with Business, Product, and Engineering teams to determine metrics, reports, and analytics needed.
Design, architect, implement, and support key datasets for actionable business information.
Retrieve and analyze data using SQL and other data management & BI systems.
Develop queries for ad-hoc requests and ongoing reporting.
Monitor existing metrics, analyze data, and address key business questions.
Review data analytics processes and documentation for continuous improvement.
Work with the latest AWS cloud technologies.

Posted 2024-10-29

🧭 Full-Time

💸 170000 - 220000 USD per year

🔍 SaaS

🏢 Company: Lumos

7+ years of experience in a Data Analyst or related role within the SaaS space.
Proficiency in SQL and Python.
Experience with data modeling tools such as DBT.
Familiarity with BI tools like Looker, Tableau, Power BI, or Metabase.
Ability to work autonomously and manage ambiguity as the company scales.
Experience with prioritizing and owning data projects that align with company OKRs.
Proven ability to collaborate cross-functionally and meet data goals.

Spearhead projects to build core data layers and ingest data sources.
Transform data into actionable dashboards and insights for cross-functional teams.
Empower sales/customer teams with customer-level data.
Collaborate with Product to develop key KPIs and support product managers.
Align with leadership to define business-level KPIs and develop core business dashboards.
Conduct operational deep dives to address complex business questions.

Posted 2024-10-29

Posted 2024-09-20

📍 Bulgaria

🧭 Full-Time

🔍 Payment services

🏢 Company: emerchantpay

10+ years in Data/BI/Analytics/Reporting roles.
2+ years in a similar team management role with a strong technical focus.
Proven analytical and quantitative ability.
Strong knowledge of SQL and advanced SQL usage.
Experience with BI solutions like QuickSight (preferred), Tableau, QlikView, Power BI.
Experience with data modeling and reporting.
Experience with warehousing and DB optimizations, ETL/ELT processes.
Experience with various DB engines: PostgreSQL, MySQL, Oracle, SQL Server.
Familiarity with AWS cloud-based tools: AWS Glue, QuickSight, Redshift, S3.
Highly proficient in spoken and written English.
Enthusiastic, hard-working, and motivated team player with excellent communication skills.

Lead and mentor the Data Analytics team by overseeing day-to-day activities, setting goals, and performing reviews.
Interface with the Senior Management Team to identify innovative uses of data and drive BI strategy.
Guide design and implementation of data solutions using business intelligence tools.
Collaborate with Business, Product, and Engineering teams to determine metrics and analytics needs.
Design and support key datasets for timely access to actionable business information.
Retrieve and analyze data using SQL and BI systems.
Develop queries for ad-hoc requests and ongoing reporting.
Monitor existing metrics and analyze data to answer key business questions.
Review Data Analytics processes for continuous improvement.
Work with the latest AWS cloud technologies.

AWSLeadershipPostgreSQLSQLBusiness IntelligenceETLMySQLOracleQlikViewTableauStrategyCommunication Skills

Posted 2024-09-20

🔧 Requirements