Batmaid

IT Support

• Act as the first responder for user issues or requests raised through dedicated channels.
• Guide users where a functionality exists to complete request
• Execute changes where these are within remit
• Escalate to Level 2 issues that cannot be resolved directly by user or yourself
• Add and remove access to different tools and systems according to profile of user onboarded, offboarded or undergoing change of scope
• Update and maintain the logic present within business tools such as 3CX and Zendesk, according to user needs
• Maintain and update user documentation and process manuals
• Document requirements and processes for new developments under guidance of Product Manager
• Conduct basic, structured training for new users or for refresher training
• Write and issue communications relating to incidents, changes and new developments

Senior IT Support Specialist

Analytics Engineer

• Design, build, and maintain **dbt models** that transform and structure raw data for reporting and analytics.
• Write efficient and scalable **SQL** to support modeling and analysis within Snowflake.
• Use **Python** for data transformations, automations, and integrations.
• Build and maintain **Tableau dashboards** to surface metrics and insights to business users.
• Define, document, and standardize **core metrics and KPIs** across the organization.
• Partner with the Data Engineer to ensure data pipelines are performant, reliable, and well-maintained.
• Conduct data quality checks and maintain documentation to ensure trust in data.
• Collaborate with stakeholders to translate business questions into data requirements and deliver clear, actionable solutions.

• Design, build, and maintain dbt models that transform and structure raw data for reporting and analytics.
• Write efficient and scalable SQL to support modeling and analysis within Snowflake.
• Use Python for data transformations, automations, and integrations.
• Build and maintain Tableau dashboards to surface metrics and insights to business users.
• Define, document, and standardize core metrics and KPIs across the organization.
• Partner with the Data Engineer to ensure data pipelines are performant, reliable, and well-maintained.
• Conduct data quality checks and maintain documentation to ensure trust in data.
• Collaborate with stakeholders to translate business questions into data requirements and deliver clear, actionable solutions.