Data Analyst – Data Conversion Jobs

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.

5+ years of experience as a Data Analyst

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

Experience working with health administrative data and data warehouses

Experience manipulating and compiling large databases

Experience writing programs and queries to manipulate and compile large health datasets and analyze the date accordingly

Experience working within the BC Health Sector is preferred

Fully remote, open to applicants with valid work authorization in Canada

Minimum 5 yrs experience as a data analyst or data scientist (ERP)

• Experience in Data Analytics or as a Data Scientist.

• Gathering and documenting client requirements

• Ensuring delivery processes are robust, of high quality and repeatable

• Developing and measuring success metrics for key projects.

Strong analytical and problem-solving skills

Excellent written and verbal communication skills

Assist in the collection and analysis of data using various data analytics tools and techniques.

Perform data cleaning, data preprocessing, and data visualization tasks.

Help develop insightful dashboards and reports using data visualization tools such as Tableau, Power BI, or Google Data Studio

Collaborate with team members to design, implement, and evaluate experiments.

Strong analytical and problem-solving skills

Excellent written and verbal communication skills

Assist in the collection and analysis of data using various data analytics tools and techniques.

Perform data cleaning, data preprocessing, and data visualization tasks.

Help develop insightful dashboards and reports using data visualization tools such as Tableau, Power BI, or Google Data Studio

Collaborate with team members to design, implement, and evaluate experiments.

Continuously develop skills and knowledge through self-directed learning, mentorship, and company-provided training opportunities.

Exceptional organizational skills and the ability to manage multiple priorities.

Strong, problem solving, and critical-thinking skills and experience working in metrics based environment

2+ years of data analysis experience.

2+ years of experience with SQL.

2+ Experience working with Google Sheets.

·Experienced at data analytics (minimum 3 years experience ideal)

·Confident in your interpersonal, oral and written English communication skills

We are looking for someone to work with on a freelance basis. For this project, you will:

· Learn about our clients’ needs and research objectives

·Organize the data for easy analysis

·Help us determine the best analytics approach and execute the data analysis

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

Work with management to prioritize business and information needs

BS in Mathematics, Economics, Computer Science, Information Management or Statistics

Strong knowledge of, and experience with reporting packages (business data objects, databases (GCP, SQL, etc.), programming (XML, Javascript, or ETL frameworks)

Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SAS, etc.)

Developing ongoing reporting capabilities, monitor performance and identify improvements

5+ years of proven working experience as a Data Analyst or Business Data Analyst

* Work with management to prioritize business and information needs

* BS in Mathematics, Economics, Computer Science, Information Management or Statistics

* Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SAS, etc.)

* Developing ongoing reporting capabilities, monitoring performance and identifying improvements.

* 5+ years of proven working experience as a Data Analyst or Business Data Analyst

* Strong leadership and communication skills

Experienced knowledge of Business Continuity Management as the sole BCM domain expert

Knowledge of methods, systems, and applicable legislative requirements for Crisis Management, Business Continuity and Operational Resilience

Extensive knowledge of Crisis Management, Business Continuity, Disaster Recovery and Operational Resilience general risk profiles

Good communication, organization and project management skills

Exceptional interpersonal, relationship management and partnership skills

Responsible for supporting the creation and maintenance of sound crisis response and business continuity management and operational resilience plans

Use your presentation and communication skills to ensure a smooth migration process.

Depth of experience in data migrations, report building, or software development

Excellent consulting and communication skills.

Adept understanding of Higher-Education business functions.

Experience contributing to the success of multiple software deployments.

Advanced knowledge of data manipulation technologies such as SQL, scripting languages, web services, and XML.

Hands on experience with SQL Queries and Stored procedures

ETL , data profiling and data analysis experience

Experience of working with Business and Technology stakeholders

Data BA experience from user story to production of programs

Experience on maintaining high standards of data quality and integrity

Experience of working as a Data SME or Data BA in enterprise Organizations

Version Control Systems Knowledge: Such as Git, for code collaboration and management

Project Management Skills: Ability to manage multiple projects and deadlines

Build flexible solutions that can adapt quickly to changing requirements

4+ years of experience programming in Python and SQL

PySpark Experience: Nice to have

Experience with ETL Tools and Processes: Such as Apache Airflow, Informatica, for extracting, cleansing, and standardizing data

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.

2-4 years of experience in technical analysis, preferably in thermal modeling

Exceptional analytical, problem-solving, and organizational skills.

Collaborate with the R&D and business teams to derive requirements for thermal efficiency modeling.

Proficiency in data analysis and manipulation using tools like SQL.

Familiarity with data visualization tools like Tableau/Hex

Familiarity with managing large data sets and corresponding infrastructure like, BigQuery, dbt, snowflake etc….

Ability to acquire new knowledge and skills and transfer these learnings to the team.

Analytical and conceptual thinking skill.

Experience with data visualization and results presentation.

Deadline driven, organized, and able to manage multiple projects at a given time.

Extract and prepare data for statistical analysis (cleaning and formatting)

Review and visualize data, primarily using R

North York– Hybrid Model: In-office (Monday, Tuesday & Thursday) / Remote (Wednesday & Friday)

• 4 or more years of related experience with data transformation on large enterprise programs

• Experience with data standards and data quality reporting

• Experience with SAP, EBS, or Oracle Cloud

• Industry experience in energy storage and distribution

• Experience with large-scale, complex project go-lives (i.e. cutovers)

Work with business users to obtain data requirements and analyze source systems data.

Manage data integrity and data quality.

Ability to translate business needs into technical solutions. Strong analytical skills.

Strong SQL and Erwin (modeling) skills.

Knowledge of data architectural approaches, patterns, and emerging technologies.

Experience creating architecture and strategy artifacts.