Marketing Data Analytics Engineer (CA)
Free to start · No card · 5 credits the moment you sign up
Job description
**Travel to Office expectations**
Position Summary:
Key Responsibilities:
- Data Pipelines & Integrations: Design, build, and maintain data pipelines connecting Salesforce, Marketo, and the data warehouse (e.g., BigQuery) to support marketing performance reporting.
- Reporting Automation & Analytics Enablement: Automate recurring campaign reporting workflows and write/optimize SQL to build reusable datasets, views, and queries that power dashboards and leadership reporting.
- Campaign Attribution & Data Quality: Strengthen campaign attribution logic (campaign codes, UTM/campaign member data, lead-to-opportunity linkage) and monitor, troubleshoot, and improve data quality across Marketo, Salesforce, and downstream reporting tables.
- AI-Enabled Analytics Workflows: Apply AI tools such as Claude to accelerate data exploration, documentation, and query development, while maintaining rigor and accuracy in production reporting.
- Systems Support & Documentation: Support backend administration and configuration in Salesforce and Marketo (fields, objects, sync rules, campaign structures), and document data models, definitions, and processes so metrics stay consistent and self-serve for marketing stakeholders.
Required Skills & Qualifications:
- Bachelor's degree (completed or in final year) in Software Engineering, Computer Science, Data Engineering, or a related technical field. New graduates are encouraged to apply.
- 0 – 2 years of applicable experience.
- Strong SQL skills: comfortable writing joins, aggregations, and window functions against large relational datasets.
- Working knowledge of at least one programming language used in data work (e.g., Python) for scripting, automation, or ETL.
- Understanding of relational data models and how CRM/marketing-automation data is structured (leads, contacts, accounts, campaigns, opportunities).
- Highly analytical and detail-oriented, with a strong bias toward automating repetitive work.
- Intellectually curious and open-minded, with a genuine thirst to learn new tools, systems, and business context.
Preferred Skills & Experience:
- Hands-on exposure to Salesforce (SOQL, reports, campaign objects, admin concepts) or Marketo (programs, smart campaigns, field sync).
- Experience with a cloud data warehouse (BigQuery, Snowflake, Redshift) and BI tools (Power BI, Looker, Tableau).
- Familiarity with AI-assisted development or analytics tools, such as Claude or similar large language model platforms.
- Exposure to ETL/ELT tooling, APIs, or workflow orchestration (e.g., dbt, Airflow, Fivetran, or equivalent scripting).
- Familiarity with marketing funnel metrics (MQLs, opportunities, pipeline) or B2B demand generation.
- Co-op, internship, or project experience in a data engineering, analytics engineering, or revenue operations context.
PointClickCare Benefits & Perks:
Originally posted on Himalayas
Prepare your application
Use the description above to assess your fit for PointClickCare. This checklist is guidance from Resumize, rather than additional requirements from the employer. Imported listings can be shortened or change after collection, so confirm the complete description and current availability before sending an application.
Match requirements to evidence
Identify the responsibilities and skills the employer explicitly names. For each important requirement, choose one example from your work, education, training, or projects. Explain what you did, how you did it, and what changed as a result. Include a measurable outcome when you can support it. If you lack a requirement, describe related experience accurately instead of adding an unfamiliar skill to your resume.
Put the most relevant examples near the top of your resume. Keep job titles, dates, qualifications, and contact details consistent across your application materials. Use the employer’s terminology when it describes your experience accurately; a copied list of keywords does not explain your contribution. A short, specific bullet is easier to review than a paragraph that mixes several unrelated duties.
Check the working arrangement
Confirm the location, schedule, employment type, and any eligibility requirements on the employer’s site. A remote label does not establish worldwide eligibility or flexible hours. If compensation, benefits, equipment, travel, or contract duration are missing from this listing, write down your questions for the recruiter. Do not assume details from another opening at the same company apply to this role.
Review before submitting
Follow the employer’s requested file format and application instructions. Open your exported resume and check that its text is selectable, its sections read in order, and its links work. Proofread names, dates, and contact information. Share confidential work samples only when you have permission, and use an anonymized example when necessary.
Submit through a trusted employer or recruiting destination. If the original listing has disappeared, search the employer’s careers page for the title rather than assuming the vacancy remains open. Save the application date, job reference, and the version of your resume you sent. Those details help you prepare for a later conversation and avoid submitting conflicting information through several job boards.
Review your resume for writing and readability feedback, or browse other openings if this opportunity is unavailable.