Adjunct Professor Pool - Data Analytics (School Of Business & Economics)

Data AnalyticsAdjunct Professor Pool Position in the School of Business & Economics
Position Summary:The School of Business and Economics at Concordia University Irvine is seeking applicants for adjunct faculty positions in the Data Analytics Business field. The School is IACBE accredited and strives to develop wise and honorable citizens capable of excelling as witnesses of Christ through their various roles within the academic field and elsewhere. Pursuant to this mission, we seek faculty candidates who can articulate the interconnection between their Christian faith and their academic pursuits. Essential Duties and Responsibilities include:

• Teaching MBA courses face-to-face, conducting office hours, and working with full-time faculty colleagues. MBA courses are generally taught once a week for seven weeks in the evening throughout the year.
• Possible course topics encompass a range of Data Analytics and Data Analytics related topics from a business perspective teaching the deployment of analytical tools in identifying data needs, accessing data, organizing data and where possible storytelling through graphics.
• Primary opportunities include face-to-face offerings in MBA Data Analytic courses such as MBA 608 Business Analytics, MBA 630A Big Data I, MBA 630B Big Data II, and MBA 611 Data Analytics on our Irvine campus where MBA students look to add to their understanding, applicability, and capability of Data Analytics in the business world rather than developing the competency of a Data Scientist.

Qualification Requirements:

• Successful candidates must confess the Christian faith, demonstrate a commitment to a Lutheran liberal arts education, and have demonstrated teaching excellence
• Candidates must also have an earned doctorate or a master's degree in a relevant field
• 3+ years of professional experience in the Business Data Analytics area
• Abreast of current industry practices, trends, tools in the Data Analytics field
• Knowledge of and ability to incorporate Python, Tableau, R, SQL, and Excel into classes.

Data AnalyticsAdjunct Professor Pool Position in the School of Business & Economics
Position Summary:The School of Business and Economics at Concordia University Irvine is seeking applicants for adjunct faculty positions in the Data Analytics Business field. The School is IACBE accredited and strives to develop wise and honorable citizens capable of excelling as witnesses of Christ through their various roles within the academic field and elsewhere. Pursuant to this mission, we seek faculty candidates who can articulate the interconnection between their Christian faith and their academic pursuits. Essential Duties and Responsibilities include:

• Teaching MBA courses face-to-face, conducting office hours, and working with full-time faculty colleagues. MBA courses are generally taught once a week for seven weeks in the evening throughout the year.
• Possible course topics encompass a range of Data Analytics and Data Analytics related topics from a business perspective teaching the deployment of analytical tools in identifying data needs, accessing data, organizing data and where possible storytelling through graphics.
• Primary opportunities include face-to-face offerings in MBA Data Analytic courses such as MBA 608 Business Analytics, MBA 630A Big Data I, MBA 630B Big Data II, and MBA 611 Data Analytics on our Irvine campus where MBA students look to add to their understanding, applicability, and capability of Data Analytics in the business world rather than developing the competency of a Data Scientist.

Qualification Requirements:

• Successful candidates must confess the Christian faith, demonstrate a commitment to a Lutheran liberal arts education, and have demonstrated teaching excellence
• Candidates must also have an earned doctorate or a master's degree in a relevant field
• 3+ years of professional experience in the Business Data Analytics area
• Abreast of current industry practices, trends, tools in the Data Analytics field
• Knowledge of and ability to incorporate Python, Tableau, R, SQL, and Excel into classes.

Data AnalyticsAdjunct Professor Pool Position in the School of Business & Economics
Data AnalyticsAdjunct Professor Pool Position in the School of Business & Economics
Data AnalyticsAdjunct Professor Pool Position in the School of Business & Economics
Data AnalyticsAdjunct Professor Pool Position in the School of Business & EconomicsData AnalyticsAdjunct Professor Pool Position in the School of Business & Economics
Position Summary:The School of Business and Economics at Concordia University Irvine is seeking applicants for adjunct faculty positions in the Data Analytics Business field. The School is IACBE accredited and strives to develop wise and honorable citizens capable of excelling as witnesses of Christ through their various roles within the academic field and elsewhere. Pursuant to this mission, we seek faculty candidates who can articulate the interconnection between their Christian faith and their academic pursuits. Position Summary:The School of Business and Economics at Concordia University Irvine is seeking applicants for adjunct faculty positions in the Data Analytics Business field. The School is IACBE accredited and strives to develop wise and honorable citizens capable of excelling as witnesses of Christ through their various roles within the academic field and elsewhere. Pursuant to this mission, we seek faculty candidates who can articulate the interconnection between their Christian faith and their academic pursuits. Position Summary:The School of Business and Economics at Concordia University Irvine is seeking applicants for adjunct faculty positions in the Data Analytics Business field. The School is IACBE accredited and strives to develop wise and honorable citizens capable of excelling as witnesses of Christ through their various roles within the academic field and elsewhere. Pursuant to this mission, we seek faculty candidates who can articulate the interconnection between their Christian faith and their academic pursuits. Position Summary: Position Summary: The School of Business and Economics at Concordia University Irvine is seeking applicants for adjunct faculty positions in the Data Analytics Business field. The School is IACBE accredited and strives to develop wise and honorable citizens capable of excelling as witnesses of Christ through their various roles within the academic field and elsewhere. Pursuant to this mission, we seek faculty candidates who can articulate the interconnection between their Christian faith and their academic pursuits. Essential Duties and Responsibilities include:Essential Duties and Responsibilities include:Essential Duties and Responsibilities include: Essential Duties and Responsibilities include: Essential Duties and Responsibilities include: Essential Duties and Responsibilities include:

• Teaching MBA courses face-to-face, conducting office hours, and working with full-time faculty colleagues. MBA courses are generally taught once a week for seven weeks in the evening throughout the year.
• Possible course topics encompass a range of Data Analytics and Data Analytics related topics from a business perspective teaching the deployment of analytical tools in identifying data needs, accessing data, organizing data and where possible storytelling through graphics.
• Primary opportunities include face-to-face offerings in MBA Data Analytic courses such as MBA 608 Business Analytics, MBA 630A Big Data I, MBA 630B Big Data II, and MBA 611 Data Analytics on our Irvine campus where MBA students look to add to their understanding, applicability, and capability of Data Analytics in the business world rather than developing the competency of a Data Scientist.

Teaching MBA courses face-to-face, conducting office hours, and working with full-time faculty colleagues. MBA courses are generally taught once a week for seven weeks in the evening throughout the year.

Teaching MBA courses face-to-face, conducting office hours, and working with full-time faculty colleagues. MBA courses are generally taught once a week for seven weeks in the evening throughout the year. Teaching MBA courses face-to-face, conducting office hours, and working with full-time faculty colleagues. MBA courses are generally taught once a week for seven weeks in the evening throughout the year. Teaching MBA courses face-to-face, conducting office hours, and working with full-time faculty colleagues. MBA courses are generally taught once a week for seven weeks in the evening throughout the year. Teaching MBA courses face-to-face, conducting office hours, and working with full-time faculty colleagues. MBA courses are generally taught once a week for seven weeks in the evening throughout the year.

Possible course topics encompass a range of Data Analytics and Data Analytics related topics from a business perspective teaching the deployment of analytical tools in identifying data needs, accessing data, organizing data and where possible storytelling through graphics.

Possible course topics encompass a range of Data Analytics and Data Analytics related topics from a business perspective teaching the deployment of analytical tools in identifying data needs, accessing data, organizing data and where possible storytelling through graphics. Possible course topics encompass a range of Data Analytics and Data Analytics related topics from a business perspective teaching the deployment of analytical tools in identifying data needs, accessing data, organizing data and where possible storytelling through graphics. Possible course topics encompass a range of Data Analytics and Data Analytics related topics from a business perspective teaching the deployment of analytical tools in identifying data needs, accessing data, organizing data and where possible storytelling through graphics. Possible course topics encompass a range of Data Analytics and Data Analytics related topics from a business perspective teaching the deployment of analytical tools in identifying data needs, accessing data, organizing data and where possible storytelling through graphics. Possible course topics encompass a range of Data Analytics and Data Analytics related topics from a business perspective teaching the deployment of analytical tools in identifying data needs, accessing data, organizing data and where possible storytelling through graphics. Possible course topics encompass a range of Data Analytics and Data Analytics related topics from a business perspective teaching the deployment of analytical tools in identifying data needs, accessing data, organizing data and where possible storytelling through graphics.

Primary opportunities include face-to-face offerings in MBA Data Analytic courses such as MBA 608 Business Analytics, MBA 630A Big Data I, MBA 630B Big Data II, and MBA 611 Data Analytics on our Irvine campus where MBA students look to add to their understanding, applicability, and capability of Data Analytics in the business world rather than developing the competency of a Data Scientist.

Primary opportunities include face-to-face offerings in MBA Data Analytic courses such as MBA 608 Business Analytics, MBA 630A Big Data I, MBA 630B Big Data II, and MBA 611 Data Analytics on our Irvine campus where MBA students look to add to their understanding, applicability, and capability of Data Analytics in the business world rather than developing the competency of a Data Scientist. Primary opportunities include face-to-face offerings in MBA Data Analytic courses such as MBA 608 Business Analytics, MBA 630A Big Data I, MBA 630B Big Data II, and MBA 611 Data Analytics on our Irvine campus where MBA students look to add to their understanding, applicability, and capability of Data Analytics in the business world rather than developing the competency of a Data Scientist. Primary opportunities include face-to-face offerings in MBA Data Analytic courses such as MBA 608 Business Analytics, MBA 630A Big Data I, MBA 630B Big Data II, and MBA 611 Data Analytics on our Irvine campus where MBA students look to add to their understanding, applicability, and capability of Data Analytics in the business world rather than developing the competency of a Data Scientist. Primary opportunities include face-to-face offerings in MBA Data Analytic courses such as MBA 608 Business Analytics, MBA 630A Big Data I, MBA 630B Big Data II, and MBA 611 Data Analytics on our Irvine campus where MBA students look to add to their understanding, applicability, and capability of Data Analytics in the business world rather than developing the competency of a Data Scientist. Primary opportunities include face-to-face offerings in MBA Data Analytic courses such as MBA 608 Business Analytics, MBA 630A Big Data I, MBA 630B Big Data II, and MBA 611 Data Analytics on our Irvine campus where MBA students look to add to their understanding, applicability, and capability of Data Analytics in the business world rather than developing the competency of a Data Scientist. Primary opportunities include face-to-face offerings in MBA Data Analytic courses such as MBA 608 Business Analytics, MBA 630A Big Data I, MBA 630B Big Data II, and MBA 611 Data Analytics on our Irvine campus where MBA students look to add to their understanding, applicability, and capability of Data Analytics in the business world rather than developing the competency of a Data Scientist. Primary opportunities include face-to-face offerings in MBA Data Analytic courses such as MBA 608 Business Analytics, MBA 630A Big Data I, MBA 630B Big Data II, and MBA 611 Data Analytics on our Irvine campus where MBA students look to add to their understanding, applicability, and capability of Data Analytics in the business world rather than developing the competency of a Data Scientist. Primary opportunities include face-to-face offerings in MBA Data Analytic courses such as MBA 608 Business Analytics, MBA 630A Big Data I, MBA 630B Big Data II, and MBA 611 Data Analytics on our Irvine campus where MBA students look to add to their understanding, applicability, and capability of Data Analytics in the business world rather than developing the competency of a Data Scientist. Qualification Requirements:Qualification Requirements:Qualification Requirements: Qualification Requirements: Qualification Requirements: Qualification Requirements:

• Successful candidates must confess the Christian faith, demonstrate a commitment to a Lutheran liberal arts education, and have demonstrated teaching excellence
• Candidates must also have an earned doctorate or a master's degree in a relevant field
• 3+ years of professional experience in the Business Data Analytics area
• Abreast of current industry practices, trends, tools in the Data Analytics field
• Knowledge of and ability to incorporate Python, Tableau, R, SQL, and Excel into classes.

Successful candidates must confess the Christian faith, demonstrate a commitment to a Lutheran liberal arts education, and have demonstrated teaching excellence

Successful candidates must confess the Christian faith, demonstrate a commitment to a Lutheran liberal arts education, and have demonstrated teaching excellence Successful candidates must confess the Christian faith, demonstrate a commitment to a Lutheran liberal arts education, and have demonstrated teaching excellence Successful candidates must confess the Christian faith, demonstrate a commitment to a Lutheran liberal arts education, and have demonstrated teaching excellence Successful candidates must confess the Christian faith, demonstrate a commitment to a Lutheran liberal arts education, and have demonstrated teaching excellence

Candidates must also have an earned doctorate or a master's degree in a relevant field

Candidates must also have an earned doctorate or a master's degree in a relevant field Candidates must also have an earned doctorate or a master's degree in a relevant field Candidates must also have an earned doctorate or a master's degree in a relevant field Candidates must also have an earned doctorate or a master's degree in a relevant field Candidates must also have an earned doctorate or a master's degree in a relevant field Candidates must also have an earned doctorate or a master's degree in a relevant field

3+ years of professional experience in the Business Data Analytics area

3+ years of professional experience in the Business Data Analytics area 3+ years of professional experience in the Business Data Analytics area 3+ years of professional experience in the Business Data Analytics area 3+ years of professional experience in the Business Data Analytics area 3+ years of professional experience in the Business Data Analytics area 3+ years of professional experience in the Business Data Analytics area 3+ years of professional experience in the Business Data Analytics area 3+ years of professional experience in the Business Data Analytics area

Abreast of current industry practices, trends, tools in the Data Analytics field

Abreast of current industry practices, trends, tools in the Data Analytics field Abreast of current industry practices, trends, tools in the Data Analytics field Abreast of current industry practices, trends, tools in the Data Analytics field Abreast of current industry practices, trends, tools in the Data Analytics field Abreast of current industry practices, trends, tools in the Data Analytics field Abreast of current industry practices, trends, tools in the Data Analytics field Abreast of current industry practices, trends, tools in the Data Analytics field Abreast of current industry practices, trends, tools in the Data Analytics field Abreast of current industry practices, trends, tools in the Data Analytics field Abreast of current industry practices, trends, tools in the Data Analytics field

Knowledge of and ability to incorporate Python, Tableau, R, SQL, and Excel into classes.

Knowledge of and ability to incorporate Python, Tableau, R, SQL, and Excel into classes. Knowledge of and ability to incorporate Python, Tableau, R, SQL, and Excel into classes. Knowledge of and ability to incorporate Python, Tableau, R, SQL, and Excel into classes. Knowledge of and ability to incorporate Python, Tableau, R, SQL, and Excel into classes. Knowledge of and ability to incorporate Python, Tableau, R, SQL, and Excel into classes. Knowledge of and ability to incorporate Python, Tableau, R, SQL, and Excel into classes. Knowledge of and ability to incorporate Python, Tableau, R, SQL, and Excel into classes. Knowledge of and ability to incorporate Python, Tableau, R, SQL, and Excel into classes. Knowledge of and ability to incorporate Python, Tableau, R, SQL, and Excel into classes. Knowledge of and ability to incorporate Python, Tableau, R, SQL, and Excel into classes. Knowledge of and ability to incorporate Python, Tableau, R, SQL, and Excel into classes. Knowledge of and ability to incorporate Python, Tableau, R, SQL, and Excel into classes.