Privacy Impact Assessment (PIA) Specialist /- Level 3

Our client in the Information Technology/Telecommunication space is looking for a Field Marketing Specialist to join their team located in Calgary for a 12-month contract. The Field Marketing Specialist is part of an innovative worldwide team. As a Field Marketing Specialist, you are responsible for contributing to and executing on a successful marketing plan and budget for the assigned regional/vertical area, in alignment with local market objectives, global company positioning, and regional vertical strategies.ADVANTAGESThis role requires great creativity, the ability to communicate effectively across varying organizational levels and teams, the ability to manage competing priorities, and exceptional project management skills.RESPONSIBILITIES•Program Management · Contributes to the execution of global and local programs and activities in territory · Supports highly targeted marketing programs to encourage strategic engagement with Equinix · Supports high impact product/solution/service launches within their territory in alignment with Regional launch plans •Virtual Event Planning and Execution · Supports different types of virtual events within the territory supporting all aspects of event management and logistics pre and post event, including working with 3rd parties and agencies to deliver the right event experience and ROI · Contributes to the reporting on events and campaigns to measure campaign effectiveness · Assists with social media campaigns to drive successful activities •Agency Management · Works with Equinix’s Creative Services team or third-party agencies to develop supporting materials and collateral •Lead Generation · Works with senior managers to ensure activities generate forecast ROI in terms of MQLs/Opportunities within Lead Management SLAs · Works with Marketing Operations to ensure Leads are captured and progressed through global lead management process and tools•Lead Management · Works with Marketing Operations to ensure leads and contacts enter lead management process and tools · Utilizes SFDC to monitor lead progression Collaboration · Supports the liaison and planning with local sales teams · Liaises with regional and global marketing specialists for product, vertical marketing, programs, marketing operations •Budget Management · Ensures compliance to budget processes by managing costs within agreed goals •Provide input to identifying in-region customer targets by vertical, drive sales plays, advise on how to customize/build playbooks and measure progress against targets•IBX (International Business Exchanges) and product marketing: launches, collateral and digital assets based on global product marketing guidelines, global inbound/outbound marketing and sales enablement activities.•Supports contact acquisition & development strategy for local market: by vertical, job role, target account, suspect/prospect/customer.•Success Metrics: MRR & TCV Pipeline contribution from marketing-generated leads; MQLs generated for in-region customers; MQL-SQL-Closed Won conversion rate; program delivery KPIs, sales activities/participation in programs and utilization of tools, PR metrics, upsell/xsell metricsQUALIFICATIONS•Team-working skills•Excellent written and verbal communication•Good numerical skills•Creative ability•Strong organizational skills. The ability to delegate and motivate others.•Self-confidence to sell ideas and brief agencies and internal stakeholders•Good presentation skills.•Problem Solving · Uses existing procedures to solve standard problems; analyzes information and standard practices to make judgments Impact · works within standardized procedures and practices to achieve objectives and meet deadlines •Motivated self- starter who thrives on working in complex and challenging environments of a rapidly evolving business•Experience with database and direct marketing tools (e.g. Marketo, Salesforce)•Qualification in marketing required (BA or BS) SUMMARYInterested applicants are encouraged to apply, those qualified will be contact by a recruiter for next steps.

Our Public Sector client is looking for a Jr. Data Analyst to lead the assessment and analytics of datasets for proofs-of-concept. The general scope of work for the data scientist involves:· Assessing datasets from various ministry sources, including those involved with land-use planning, child care, and school related data;· Identifying potential gaps (e.g. inconsistencies, errors) in datasets and documenting gaps as well as steps for resolution;· Identifying new datasets needed to improve analytical capabilities of a proof of concept; Developing reports in various visualization tools (e.g. GIS, Tableau, Microsoft PowerBI);· Conducting historical analytics on relational datasets;· Conducting predictive analytics on relational datasets; and· Documenting the findings at each phase of work and reporting the findings to the team.The candidate must be able to work in an agile/iterative project environment.ADVANTAGES- work from home to start until quarantine is lifted - then will work on-site in downtown officeRESPONSIBILITIES The juniior Data analyst will lead the assessment and analytics of datasets for proofs-of-concept. The general scope of work for the data scientist involves:· Assessing datasets from various ministry sources, including those involved with land-use planning, child care, and school related data;· Identifying potential gaps (e.g. inconsistencies, errors) in datasets and documenting gaps as well as steps for resolution;· Identifying new datasets needed to improve analytical capabilities of a proof of concept; Developing reports in various visualization tools (e.g. GIS, Tableau, Microsoft PowerBI);· Conducting historical analytics on relational datasets;· Conducting predictive analytics on relational datasets; and· Documenting the findings at each phase of work and reporting the findings to the team.The candidate must be able to work in an agile/iterative project environment.QUALIFICATIONSSkills:· Statistical modelling using R script· Experience with land-use planning, child care, StatsCan demographics, and Ontario Open Data is an asset· Experience integrating R Script into Microsoft Power BI· Experience with predictive analytics· Experience with dimensionalized data / building cubesTools and techniques - 30%· Experience with a range of analytical methods, techniques and tools such as statistical analysis and modelling, data mining, predictive analytics, machine learning and algorithms, natural language processing, and other related disciplines· Experience building visualizations in R Shiny, SAS, Python, Esri/ArcGIS, Microsoft PowerBI, and PowerViewer, Cognos· Experience working in an agile/iterative project environmentTotal BI and Analytics Experience - 25%· Experience developing business intelligence and various analytics resources Experience with cleaning, transforming, integrating, and visualizing data sets Experience understanding a data model· Experience with SQL and using queries to extract relevant data· Demonstrated knowledge of emerging Business Intelligence trends and directions· Experience with dimensionalized data/building cubes· Demonstrated knowledge and experience in psychometry/psychometrics would be an assetCommunication Skills - 10%· Demonstrated consulting and relationship management skills, with proven ability to elicit requirements, develop/consult on options and solutions, and provide effective guidance· Strong verbal and written communication skills; with both technical and non-technical audiences· Excellent analytical, problem-solving and decision making skill· Strong leadership and collaboration skills· A demonstrated team player with a track record for meeting deadlinesOPS Experience - 5%· Previous public sector experience in an organization of equivalent size and complexity to the Ontario Public Service.SUMMARY- data analyst experienceSkills:· Statistical modelling using R script· Experience with land-use planning, child care, StatsCan demographics, and Ontario Open Data is an asset· Experience integrating R Script into Microsoft Power BI· Experience with predictive analytics· Experience with dimensionalized data / building cubes

Our Public Sector client is looking for a Jr. Data Analyst to lead the assessment and analytics of datasets for proofs-of-concept. The general scope of work for the data scientist involves:· Assessing datasets from various ministry sources, including those involved with land-use planning, child care, and school related data;· Identifying potential gaps (e.g. inconsistencies, errors) in datasets and documenting gaps as well as steps for resolution;· Identifying new datasets needed to improve analytical capabilities of a proof of concept; Developing reports in various visualization tools (e.g. GIS, Tableau, Microsoft PowerBI);· Conducting historical analytics on relational datasets;· Conducting predictive analytics on relational datasets; and· Documenting the findings at each phase of work and reporting the findings to the team.The candidate must be able to work in an agile/iterative project environment.ADVANTAGES- work from home to start until quarantine is lifted - then will work on-site in downtown officeRESPONSIBILITIES The juniior Data analyst will lead the assessment and analytics of datasets for proofs-of-concept. The general scope of work for the data scientist involves:· Assessing datasets from various ministry sources, including those involved with land-use planning, child care, and school related data;· Identifying potential gaps (e.g. inconsistencies, errors) in datasets and documenting gaps as well as steps for resolution;· Identifying new datasets needed to improve analytical capabilities of a proof of concept; Developing reports in various visualization tools (e.g. GIS, Tableau, Microsoft PowerBI);· Conducting historical analytics on relational datasets;· Conducting predictive analytics on relational datasets; and· Documenting the findings at each phase of work and reporting the findings to the team.The candidate must be able to work in an agile/iterative project environment.QUALIFICATIONSSkills:· Statistical modelling using R script· Experience with land-use planning, child care, StatsCan demographics, and Ontario Open Data is an asset· Experience integrating R Script into Microsoft Power BI· Experience with predictive analytics· Experience with dimensionalized data / building cubesTools and techniques - 30%· Experience with a range of analytical methods, techniques and tools such as statistical analysis and modelling, data mining, predictive analytics, machine learning and algorithms, natural language processing, and other related disciplines· Experience building visualizations in R Shiny, SAS, Python, Esri/ArcGIS, Microsoft PowerBI, and PowerViewer, Cognos· Experience working in an agile/iterative project environmentTotal BI and Analytics Experience - 25%· Experience developing business intelligence and various analytics resources Experience with cleaning, transforming, integrating, and visualizing data sets Experience understanding a data model· Experience with SQL and using queries to extract relevant data· Demonstrated knowledge of emerging Business Intelligence trends and directions· Experience with dimensionalized data/building cubes· Demonstrated knowledge and experience in psychometry/psychometrics would be an assetCommunication Skills - 10%· Demonstrated consulting and relationship management skills, with proven ability to elicit requirements, develop/consult on options and solutions, and provide effective guidance· Strong verbal and written communication skills; with both technical and non-technical audiences· Excellent analytical, problem-solving and decision making skill· Strong leadership and collaboration skills· A demonstrated team player with a track record for meeting deadlinesOPS Experience - 5%· Previous public sector experience in an organization of equivalent size and complexity to the Ontario Public Service.SUMMARY- data analyst experienceSkills:· Statistical modelling using R script· Experience with land-use planning, child care, StatsCan demographics, and Ontario Open Data is an asset· Experience integrating R Script into Microsoft Power BI· Experience with predictive analytics· Experience with dimensionalized data / building cubes