G-Sheet – Who Needs Engineers https://whoneedsengineers.com/wne_live Software Engineering Recruitment Sun, 20 Oct 2024 02:15:02 +0000 en-US hourly 1 https://wordpress.org/?v=6.6.2 https://whoneedsengineers.com/wne_live/wp-content/uploads/2023/06/cropped-wne_logo-3-32x32.png G-Sheet – Who Needs Engineers https://whoneedsengineers.com/wne_live 32 32 Sales Data Analyst https://whoneedsengineers.com/jobs/data-sciene-and-analytics/sales-data-analyst-3/ Sun, 20 Oct 2024 02:15:02 +0000 https://whoneedsengineers.com/wne_live/jobs/jobs-categories/sales-data-analyst-3/ Sales Data Analyst

Job Description:

    Join us in our mission at Doctolib! We are looking for an experienced Sales Data Analyst who will provide essential support to our Sales Teams by deriving valuable insights from our sales data. As a member of the Sales Excellence Team, you will play a crucial role in optimizing the efficiency and performance of our sales teams, directly contributing to the success of our business operations in Germany. In this role, you will identify areas for improvement based on our data foundation and develop actionable strategies to enhance the performance of our Sales Team. You will create comprehensive analyses for management and support decision-making processes with solid data foundations. Your work will simplify access to relevant sales data through the use of dashboards and self-service tools, empowering our Sales Managers to utilize the prepared data effectively. Additionally, you will serve as the primary contact for our global Data Team to discuss the data roadmap and requests for dashboards and ad-hoc data inquiries. You will receive extensive training in our BI and reporting tools such as Periscope Data and Tableau.

IT Languages:

  • SQL
  • Tableau
  • Metabase

Your primary tasks will include the identification of improvement potentials and the derivation of measures to enhance sales performance. You will also be responsible for training users on how to utilize data for improving various sales processes.:

    Identify areas for improvement based on sales data.;; Develop measures to improve sales team performance.;; Create analyses for management to support decision making.;; Simplify access to sales data via dashboards and self-service tools.;; Train sales managers on utilizing prepared data.;; Collaborate with the global data team on the data roadmap.

Spoken Languages:

  • English;; German

Skillset:

  • Excel
  • G-Sheet
  • Data visualization
  • Data analysis

Soft Skills:

  • Strong communication skills
  • Team player
  • Problem-solving
  • Adaptability

Qualifications:

  • Minimum of three years of experience in sales performance, strategy, data analytics, or a related field.
  • Proficient in data analysis with a structured and analytical approach.
  • Strong ability to transform complex data into actionable insights and develop innovative solutions.

Years of Experience:

    3

Location:

    Germany

Job Benefits:

  • Stock options program for all employees
  • Comprehensive health insurance with additional benefits
  • Competitive salary package with quarterly bonuses
  • 28 vacation days plus an additional day for each full calendar year of employment (up to a maximum of 30 days)
  • Extra parental leave as part of the Parent Care Program
  • Solidarity Days for charitable activities in healthcare
  • Access to mental well-being resources including coaches and psychologists
  • Flexible working hours with the option for hybrid or office-based work
  • 10 remote working days from outside the EU or UK per year
  • Reimbursement of public transport costs
  • Meal budget and healthy snacks in the office
  • Sponsorship for sports activities through Urban Sports Club

Working Conditions:

    Full Time

Employment Type:

    Permanent Contract

Company Culture:

  • We foster an inclusive workplace that values diversity and equal opportunities. Our team thrives on collaboration, support, and innovation, ensuring every employee feels valued and engaged in their work.

Opportunities For Advancement:

  • Career growth within the data analytics field, Possibility to transition into leadership roles, Access to ongoing training and development programs

Visa Sponsorship:

    Available
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Sales Data Analyst https://whoneedsengineers.com/jobs/data-sciene-and-analytics/sales-data-analyst-2/ Sun, 13 Oct 2024 02:30:02 +0000 https://whoneedsengineers.com/wne_live/jobs/jobs-categories/sales-data-analyst-2/ Sales Data Analyst

Job Description:

    Join us in our mission at Doctolib! We are looking for an experienced Sales Data Analyst who will provide essential support to our Sales Teams by deriving valuable insights from our sales data. As a member of the Sales Excellence Team, you will play a crucial role in optimizing the efficiency and performance of our sales teams, directly contributing to the success of our business operations in Germany. In this role, you will identify areas for improvement based on our data foundation and develop actionable strategies to enhance the performance of our Sales Team. You will create comprehensive analyses for management and support decision-making processes with solid data foundations. Your work will simplify access to relevant sales data through the use of dashboards and self-service tools, empowering our Sales Managers to utilize the prepared data effectively. Additionally, you will serve as the primary contact for our global Data Team to discuss the data roadmap and requests for dashboards and ad-hoc data inquiries. You will receive extensive training in our BI and reporting tools such as Periscope Data and Tableau.

IT Languages:

  • SQL
  • Tableau
  • Metabase

Your primary tasks will include the identification of improvement potentials and the derivation of measures to enhance sales performance. You will also be responsible for training users on how to utilize data for improving various sales processes.:

    Identify areas for improvement based on sales data.;; Develop measures to improve sales team performance.;; Create analyses for management to support decision making.;; Simplify access to sales data via dashboards and self-service tools.;; Train sales managers on utilizing prepared data.;; Collaborate with the global data team on the data roadmap.

Spoken Languages:

  • English;; German

Skillset:

  • Excel
  • G-Sheet
  • Data visualization
  • Data analysis

Soft Skills:

  • Strong communication skills
  • Team player
  • Problem-solving
  • Adaptability

Qualifications:

  • Minimum of three years of experience in sales performance, strategy, data analytics, or a related field.
  • Proficient in data analysis with a structured and analytical approach.
  • Strong ability to transform complex data into actionable insights and develop innovative solutions.

Years of Experience:

    3

Location:

    Germany

Job Benefits:

  • Stock options program for all employees
  • Comprehensive health insurance with additional benefits
  • Competitive salary package with quarterly bonuses
  • 28 vacation days plus an additional day for each full calendar year of employment (up to a maximum of 30 days)
  • Extra parental leave as part of the Parent Care Program
  • Solidarity Days for charitable activities in healthcare
  • Access to mental well-being resources including coaches and psychologists
  • Flexible working hours with the option for hybrid or office-based work
  • 10 remote working days from outside the EU or UK per year
  • Reimbursement of public transport costs
  • Meal budget and healthy snacks in the office
  • Sponsorship for sports activities through Urban Sports Club

Working Conditions:

    Full Time

Employment Type:

    Permanent Contract

Company Culture:

  • We foster an inclusive workplace that values diversity and equal opportunities. Our team thrives on collaboration, support, and innovation, ensuring every employee feels valued and engaged in their work.

Opportunities For Advancement:

  • Career growth within the data analytics field, Possibility to transition into leadership roles, Access to ongoing training and development programs

Visa Sponsorship:

    Available
]]>