Data Marketing Analyst Jobs in British Columbia

Advanced knowledge and experience with SQL

Experience with Google Analytics/Appsflyer/Google Tag Manager/Firebase;

Data Science or Data Analytics Certification and/or Reforge program preferred

Minimum 3-5 years of experience in data analysis

Minimum 1 year of experience focused on SaaS product analysis including usage, retention, churn, monetization, and segmentation

Experience with RDMS and data pipelines (MySQL, Redshift, Snowflake, Segment, Athena) is an asset

5+ years of recent related experience or an equivalent combination of education, training, and experience.

Advanced or Expert skills in one or more of the following: SAS, R, SQL, Python

Experience working with health administrative data and data warehouses

Significant experience writing programs and queries to manipulate and compile large health datasets and analyze the date accordingly.

Experience within BC Health Authorities/Sector

Senior Data Analyst Mandatory Skills

Supporting the data warehouse in identifying and revising reporting requirements.

Work experience as a data analyst or in a related field.

Ability to translate business requirements into non-technical, lay terms.

High-level experience in methodologies and processes for managing large-scale databases.

Demonstrated experience in handling large data sets and relational databases.

High-level written and verbal communication skills.

Learn and master new types of analysis as DarkVision increases its product offerings

No relocation support is offered for this position

Experience in a professional work environment (e.g. full-time or part-time work, co-op, internship)

Interpersonal skills - able to listen and communicate respectfully and effectively

Data analysis and/or visualization experience

Who You Are (Basic Requirements)

Organize, manipulate, and extract data in response to management requests

Expansive mastery of data management and manipulation

Implement and execute data mining projects, utilizing investigative, organizational, and analytical skills

Excellent oral and written communications skills

BS/BA in Accounting, finance, or economics

Critical thinking and problem-solving skills, and a high attention to detail

Supporting the data warehouse in identifying and revising reporting requirements.

Work experience as a data analyst or in a related field.

Ability to translate business requirements into non-technical, lay terms.

High-level experience in methodologies and processes for managing large-scale databases.

Demonstrated experience in handling large data sets and relational databases.

High-level written and verbal communication skills.

Data analytics experience in Finance, Marketing, Product Management, Customer Service, or Operations.

Technology savvy: You have education and/or experience supporting technology development/implementation efforts. 

Wealth Management systems & data

Detailed data requirements gathering and documentation.

Provide education and user support for all products & solutions built on our data platform.

3+ years of experience as Data Analyst in on-prem and cloud data warehouse implementations

Excellent communication and collaboration skills, along with previous experience in customer segmentation, data storytelling, and forecasting.

Collaborate with internal data teams on major data-related projects impacting the Customer Experience team.

Designing marketing analytics programs and advanced marketing data analytics capabilities.

Experience with data visualisation, insight interpretation and dashboard design.

Evaluate marketing campaigns to assess effectiveness and identify optimisation opportunities.

Utilise data visualisation tools to effectively communicate insights to stakeholders, designing reports and dashboards that track key performance indicators (KPIs)

Following techniques and procedures for data program and meeting data entry requirements

Demonstrated knowledge of Analytical Skills

Assisting with data entry and additional administrative tasks

Experience with higher level functionality in Microsoft Excel

Deep understanding of numeric data entry

Candidate must meet a data entry speed of 8,000 keystrokes per hour with 100% accuracy

Proven ability to manage partners & multiple projects with exceptional client-service skills

LOCATION: Remote - Work from anywhere (TimeZone: CST | Full day overlap)

2 to 6 years of data quality assurance experience with a concentration in email production or digital marketing department

Knowledge of Salesforce Marketing Cloud and Salesforce CRM desired

Strong analytical and problem-solving skills

JOB TYPE: Freelance, Contract Position (no agencies/C2C - see notes below)

10+ years of hands-on experience with Data Analysis

8+ years of advanced back-end development experience in SQL, Visual Basic, Microsoft Access

5+ years of advanced experience in Excel and Power BI

5+ years of scripting experience (no specific programming language required).

Automate manual data extraction processes – data ingesting and reporting.

Develop and maintain data models, databases, and other data systems.

· Proactively work with business stakeholders, manage relationships and lead marketing programs from a data standpoint

· Develop new analytical solutions to provide timely insights to the business

· Assemble multiple data sources across various databases to build foundational data marts

· Build repeatable processes and automation to create standardized datasets, reports and analysis

· Implement business intelligence and rules, optimize data processes and perform data quality audits

· Effectively communicate with leadership and stakeholders

Post-secondary education/certification in business-related or technical disciplines;

3 years of business analysis experience

Strong analytical and problem-solving skills, with the ability to grasp abstract concepts;

Experience developing or operating cloud applications on data analytics

Experience with data pipelines, analytics, and modeling

Be an active member of our data discovery teamworking on tasks as part of release sprints

Knowledge and demonstrated use of Tableau is an asset.

Strong verbal, written and presentation skills.

Understanding of relevant clinical terminology.

Ability to find, collect, analyze and interpret data, use basic statistical concepts, and prepare written reports.

Proficiency with statistical programs (e.g. SAS, SPSS, R)

Ability to work in a dynamic and challenging environment as a part of a small and high-functioning team.